Professor Alex Gammerman

  1. 2017
  2. E-pub ahead of print

    Conformal Prediction of Biological Activity of Chemical Compounds

    Toccaceli, P., Nouretdinov, I. & Gammerman, A. 16 Jun 2017 In : Annals of Mathematics and Artificial Intelligence. p. 1-19 19 p.

    Research output: Contribution to journalArticle

  3. Forthcoming

    Valid Probabilistic Prediction of Life Status after Percutaneous Coronary Intervention procedure

    Volkhonskiy, D., Nouretdinov, I., Gammerman, A. & Lim, P. 11 May 2017 6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Forthcoming

    Inductive Conformal Martingales for Change-Point Detection

    Volkhonskiy, D., Burnaev, E., Nouretdinov, I., Gammerman, A. & Vovk, V. 10 May 2017 6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. 2016
  6. Published

    Conformal Predictors for Compound Activity Prediction

    Toccaceli, P., Nouretdinov, I. & Gammerman, A. 17 Apr 2016 Conformal and Probabilistic Prediction with Applications: 5th International Symposium, COPA 2016 Madrid, Spain, April 20–22, 2016 Proceedings. Springer, Vol. 9653, p. 51-66 16 p. (Lecture Notes in Computer Science; vol. 9653)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. Published

    Criteria of Efficiency for Conformal Prediction

    Vovk, V., Fedorova, V., Nouretdinov, I. & Gammerman, A. 17 Apr 2016 Conformal and Probabilistic Prediction with Applications: 5th International Symposium, COPA 2016 Madrid, Spain, April 20–22, 2016 Proceedings. Springer, Vol. 9653, p. 23-39 17 p. (Lecture Notes in Computer Science; vol. 9653)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. 2015
  9. E-pub ahead of print

    Hypergraphical conformal predictors

    Fedorova, V., Gammerman, A., Nouretdinov, I. & Vovk, V. 1 Dec 2015 In : International Journal on Artificial Intelligence Tools. 24, 6

    Research output: Contribution to journalArticle

  10. Published

    Alexey Chervonenkis's bibliography: Introductory comments

    Gammerman, A. & Vovk, V. Sep 2015 In : Journal of Machine Learning Research. 16, p. 2051-2066 16 p.

    Research output: Contribution to journalEditorial

  11. Published

    Preface to this Special Issue

    Gammerman, A. & Vovk, V. Sep 2015 In : Journal of Machine Learning Research. 16, p. 1677-1681 5 p.

    Research output: Contribution to journalEditorial

  12. Published

    Multiprobabilistic Prediction in Early Medical Diagnoses

    Nouretdinov, I., Devetyarov, D., Vovk, V., Burford, B., Camuzeaux, S., Gentry-Maharaj, A., Tiss, A., Smith, C., Luo, Z., Chervonenkis, A., Hallett, R., Waterfield, M., Cramer, R., Timms, J. F., Jacobs, I. & Gammerman, A. 1 Jun 2015 In : Annals of Mathematics and Artificial Intelligence. 74, 1, p. 203-222 20 p.

    Research output: Contribution to journalArticle

  13. Published

    Conformal Clustering and Its Application to Botnet Traffic

    Cherubin, G., Nouretdinov, I., Gammerman, A., Jordaney, R., Wang, Z., Papini, D. & Cavallaro, L. 3 Apr 2015 Statistical Learning and Data Sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Gammerman, A., Vovk, V. & Papadopoulos, H. (eds.). Springer, Vol. 9047, p. 313-322 10 p. (Lecture Notes in Computer Science)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  14. Published

    Alexey Chervonenkis's bibliography

    Gammerman, A. & Vovk, V. 2015 In : Journal of Machine Learning Research. 16, p. 2067-2080

    Research output: Contribution to journalEditorial

  15. Published

    Conformal Anomaly Detection of Trajectories with a Multi-class Hierarchy

    Smith, J., Nouretdinov, I., Craddock, R., Offer, C. & Gammerman, A. 2015 Statistical Learning and Data Sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Gammerman, A., Vovk, V. & Papadopoulos, H. (eds.). Vol. 9047, p. 281-290 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  16. 2014
  17. Published

    Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction

    Smith, J., Nouretdinov, I., Craddock, R., Offer, C. & Gammerman, A. 19 Sep 2014 Artificial Intelligence Applications and Innovations: AIAI2014 Workshops. Rhodes, Greece: Springer, p. 271-280 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  18. Published

    Biomedical Applications: Diagnostic and Prognostic

    Nouretdinov, I., Bellotti, T. & Gammerman, A. 2014 Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications. Balasubramanian, V., Ho, S-S. & Vovk, V. (eds.). Elsevier, p. 217-230 14 p. 11

    Research output: Chapter in Book/Report/Conference proceedingChapter

  19. Published

    Criteria of efficiency for conformal prediction

    Vovk, V., Fedorova, V., Nouretdinov, I. & Gammerman, A. 2014 On-line Compression Modelling Project (New Series), 19 p.

    Research output: Working paper

  20. Published

    Feature Selection

    Bellotti, T., Nouretdinov, I., Yang, M. & Gammerman, A. 2014 Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications. Balasubramanian, V., Ho, S-S. & Vovk, V. (eds.). Elsevier, p. 115-130 16 p. 6

    Research output: Chapter in Book/Report/Conference proceedingChapter

  21. Published

    SVM Venn Machine with k-Means Clustering

    Zhou, C., Nouretdinov, I., Luo, Z. & Gammerman, A. 2014 Artificial Intelligence Applications and Innovations: AIAI2014 Workshops. Rhodes, Greece, p. 251-260 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  22. 2013
  23. Published

    Conformal prediction under hypergraphical models

    Fedorova, V., Gammerman, A., Nouretdinov, I. & Vovk, V. Oct 2013 The 9th Artificial Intelligence Applications and Innovations Conference (AIAI): 2nd Workshop on Conformal Prediction and its Applications. p. 371-383 13 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  24. 2012
  25. Published

    Reliable Probability Estimates Based on Support Vector Machines for Large Multiclass Datasets

    Lambrou, A., Papadopoulos, H., Nouretdinov, I. & Gammerman, A. Sep 2012 Artificial Intelligence Applications and Innovations - AIAI 2012 International Workshops: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB, Proceedings.. Halkidiki, Greece, Vol. II, p. 182-191 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  26. Published

    Valid predictions with confidence estimation in an air pollution problem.

    Ivina, O., Nouretdinov, I. & Gammerman, A. 17 Jun 2012 In : Progress in Artificial Intelligence. 1, p. 235-243 9 p.

    Research output: Contribution to journalArticle

  27. Published

    Conformal predictors in early diagnostics of ovarian and breast cancers

    Devetyarov, D., Nouretdinov, I., Burford, B., Camuzeaux, S., Gentry-Maharaj, A., Tiss, A., Smith, C., Luo, Z., Chervonenkis, A., Hallett, R., Vovk, V., Waterfield, M., Cramer, R., Timms, J. F., Sinclair, J., Menon, U., Jacobs, I. & Gammerman, A. 2012 In : Progress in Artificial Intelligence. 1, p. 245 - 257 13 p.

    Research output: Contribution to journalArticle

  28. Forthcoming

    Determining Confidence of Predicted Interactions Between HIV-1 and Human Proteins Using Conformal Method

    Nouretdinov, I., Gammerman, A., Qi, Y. & Klein-Seetharaman, J. 2012 Pacific Symposium on Biocomputing. Vol. 17, p. 311-322 12 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  29. Published

    Multiprobabilistic Venn Predictors with Logistic Regression

    Nouretdinov, I., Devetyarov, D., Burford, B., Camuzeaux, S., Gentry-Maharaj, A., Tiss, A., Smith, C., Luo, Z., Chervonenkis, A., Hallett, R., Vovk, V., Waterfield, M., Cramer, R., Timms, J. F., Jacobs, I., Menon, U. & Gammerman, A. 2012 Artificial Intelligence Applications and Innovations - AIAI 2012 International Workshops: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB, Halkidiki, Greece, September 27-30, 2012, Proceedings, Part II. Iliadis, L., Maglogiannis, I., Papadopoulos, H., Karatzas, K. & Sioutas, S. (eds.). Springer, Vol. 382, (IFIP Advances in Information and Communication Technology)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  30. Published

    Plug-in martingales for testing exchangeability on-line

    Fedorova, V., Gammerman, A., Nouretdinov, I. & Vovk, V. 2012 Proceedings of the 29th International Conference on Machine Learning (ICML-12). Langford, J. & Pineau, J. (eds.). Omnipress, p. 1639-1646 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  31. Published

    Testing the Gauss linear assumption for on-line predictions

    Fedorova, V., Nouretdinov, I. & Gammerman, A. 2012 In : Progress in Artificial Intelligence. 1, 3, p. 205-213 9 p.

    Research output: Contribution to journalArticle

  32. 2011
  33. Published

    Early detection of ovarian cancer in samples pre-diagnosis using CA125 and MALDI-MS peaks

    Timms, J. F., Menon, U., Devetyarov, D., Tiss, A., Camuzeaux, S., McCurrie, K., Nouretdinov, I., Burford, B., Smith, C., Gentry-Maharaj, A., Hallett, R., Ford, J., Luo, Z., Vovk, V., Gammerman, A., Cramer, R. & Jacobs, I. Nov 2011 In : Cancer Genomics and Proteomics. 8, 6, p. 289-305

    Research output: Contribution to journalArticle

  34. Published

    Conformal prediction and testing exchangeability assumption

    Fedorova, V., Nouretdinov, I. & Gammerman, A. Jul 2011 p. 35 1 p.

    Research output: Contribution to conferenceAbstract

  35. Published

    Non-conformity measures in multi-class prediction

    Nouretdinov, I., Santos, M. & Gammerman, A. Jul 2011 p. 57 1 p.

    Research output: Contribution to conferenceAbstract

  36. Published

    Valid prediction with confidence estimation in air pollution problem

    Ivina, O., Nouretdinov, I. & Gammerman, A. Jul 2011 p. 45 1 p.

    Research output: Contribution to conferenceAbstract

  37. Published

    Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression

    Nouretdinov, I., Costafreda, S. G., Gammerman, A., Chervonenkis, A., Vovk, V., Vapnik, V. & Fu, C. H. Y. 15 May 2011 In : NeuroImage. 56, 2, p. 809-813 5 p.

    Research output: Contribution to journalArticle

  38. Published

    Regression conformal prediction with nearest neighbours

    Papadopoulos, H., Vovk, V. & Gammerman, A. Apr 2011 In : Journal of Artificial Intelligence Research. 40, p. 815-840 26 p.

    Research output: Contribution to journalArticle

  39. Published

    A Comparison of Venn Machine with Platt's Method in Probabilistic Outputs

    Zhou, C., Nouretdinov, I., Luo, Z., Adamskiy, M., Coldham, N. & Gammerman, A. 2011 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, Artificial Intelligence Applications and Innovations 2011, Corfu, Greece, September 15-18, 2011, Proceedings , Part II. . p. 483-

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  40. Published

    Applying Conformal Prediction to the Bovine TB Diagnosing

    Adamskiy, M., Nouretdinov, I., Mitchell, A., Coldham, N. & Gammerman, A. 2011 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, Artificial Intelligence Applications and Innovations 2011, Corfu, Greece, September 15--18, 2011, Proceedings , Part II. . p. 449-

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  41. Forthcoming

    Conformal prediction in semi-supervised case

    Adamskiy, M., Nouretdinov, I. & Gammerman, A. 2011 Post-Symposium book 'Statistical learning and Data Science'. Paris: Chapman and Hall

    Research output: Chapter in Book/Report/Conference proceedingChapter

  42. Forthcoming

    Conformal predictions for electronic nose system: an application to tea classification

    Nouretdinov, I., Li, G., Gammerman, A. & Luo, Z. 2011 In : International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications. 10 p.

    Research output: Contribution to journalArticle

  43. Published

    Feature Selection by Conformal Predictor

    Yang, M., Nouretdinov, I., Luo, Z. & Gammerman, A. 2011 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, Artificial Intelligence Applications and Innovations 2011, Corfu, Greece, September 15-18, 2011, Proceedings, Part II. . p. 449-

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  44. 2010
  45. Published

    Peptides generated ex vivo from serum proteins by tumour-specific exopeptidases are not useful biomarkers in ovarian cancer

    Timms, J. F., Cramer, R., Camuzeaux, S., Tiss, A., Smith, C., Burford, B., Nouretdinov, I., Devetyarov, D., Gentry-Maharaj, A., Ford, J., Luo, Z., Gammerman, A., Menon, U. & Jacobs, I. 2010 In : Clinical Chemistry. 56, p. 262-271

    Research output: Contribution to journalArticle

  46. Published

    Predictions controlees en apprentissage automatique

    Gammerman, A. & Vovk, V. 2010 In : La Revue Modulad. 42, p. 16-33 18 p.

    Research output: Contribution to journalArticle

  47. 2009
  48. Published

    On-line predictive linear regression

    Vovk, V., Nouretdinov, I. & Gammerman, A. Jun 2009 In : The Annals of Statistics. 37, 3, p. 1566-1590 25 p.

    Research output: Contribution to journalArticle

  49. Published

    Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer

    Gammerman, A., Vovk, V., Burford, B., Nouretdinov, I., Luo, Z., Chervonenkis, A., Waterfield, M., Cramer, R., Tempst, P., Villanueva, J., Kabir, M., Camuzeaux, S., Timms, J., Menon, U. & Jacobs, I. May 2009 In : The Computer Journal. 52, 3, p. 326-333 8 p.

    Research output: Contribution to journalArticle

  50. Published
  51. Published

    Application of Inductive Confidence Machine to ICMLA competition data

    Nouretdinov, I., Burford, B. & Gammerman, A. 2009 Proceedings of The Eighth International Conference on Machine Learning and Applications. p. 435-438 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  52. Published

    Conditional prediction intervals for linear regression

    McCullagh, P., Vovk, V., Nouretdinov, I., Devetyarov, D. & Gammerman, A. 2009 Proceedings of the International Conference on Machine Learning and Applications. p. 131-138 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  53. Published

    Confidence Machine and its application to medical diagnosis

    Devetyarov, D., Nouretdinov, I. & Gammerman, A. 2009 International Conference on Bioinformatics and Computational Biology. p. 448-454 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  54. Published

    Confidence Predictions for the Diagnosis of Acute Abdominal Pain

    Papadopoulos, H., Gammerman, A. & Vovk, V. 2009 Artificial Intelligence Applications & Innovations III. Iliadis, L., Vlahavas, I. & Bramer, M. (eds.). Springer, Vol. 296, p. 175-184 10 p. (IFIP International Federation for Information Processing; vol. 296)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  55. Published

    Online Prediction of Ovarian Cancer

    Zhdanov, F., Vovk, V., Burford, B., Devetyarov, D., Nouretdinov, I. & Gammerman, A. 2009 Proceedings of the 12th Conference on Artificial Intelligence in Medicine. p. 375-379 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  56. Published

    Reliable diagnosis of acute abdominal pain with conformal prediction

    Papadopoulos, H., Gammerman, A. & Vovk, V. 2009 In : International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications. 17, 2-3, p. 127-137 11 p.

    Research output: Contribution to journalArticle

  57. 2008
  58. Published

    Predicting clinical outcome in patients diagnosed with synchronous ovarian and endometrial cancer

    Ramus, S. J., Elmasry, K., Luo, Z., Gammerman, A., Lu, K., Ayhan, A., Singh, N., McCluggage, G., Jacobs, I. J., Whittaker, J. C. & Gayther, S. A. 15 Sep 2008 In : Clinical Cancer Research. 14, 18, p. 5840-5848

    Research output: Contribution to journalArticle

  59. Published

    Clinical mass spectrometry proteomic diagnosis by conformal predictors

    Gammerman, A., Nouretdinov, I., Burford, B., Chervonenkis, A., Vovk, V. & Luo, Z. Jul 2008 In : Statistical Applications in Genetics and Molecular Biology. 7, 2, 13

    Research output: Contribution to journalArticle

  60. Published

    Normalized nonconformity measures for regression conformal prediction

    Papadopoulos, H., Gammerman, A. & Vovk, V. 2008 Proceedings of the IASTED International Conference on Articial Intelligence and Applications. p. 64-69 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  61. 2007
  62. Published

    Hedging predictions in machine learning - The second Computer Journal Lecture

    Gammerman, A. & Vovk, V. Mar 2007 In : The Computer Journal. 50, 2, p. 151-163 13 p.

    Research output: Contribution to journalArticle

  63. Published

    Rejoinder - Hedging predictions in machine learning

    Gammerman, A. & Vovk, V. Mar 2007 In : The Computer Journal. 50, 2, p. 173-177 5 p.

    Research output: Contribution to journalEditorial

  64. Published

    Conformal prediction with Neural Networks

    Papadopoulos, H., Vovk, V. & Gammerman, A. 2007 Proceedings of the Nineteenth IEEE International Conference on Tools with Artificial Intelligence. Vol. 2, p. 388-395 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  65. Published

    Preanalytic Influence of Sample Handling on SELDI-TOF Serum Protein Profiles

    Timms, J. F., Arslan-Low, E., Gentry-Maharaj, A., Luo, Z., T'Jampens, D., Podust, V. N., Ford, J., Fung, E. T., Gammerman, A., Jacobs, I. & Menon, U. 2007 In : Clinical Chemistry. 53, p. 645-656

    Research output: Contribution to journalArticle

  66. Published

    Validation of a Seven Serum Biomarker Panel in Ovarian Cancer

    Timms, J. F., Arslan-Low, E., Cubizolles, M., Lomas, L., Yip, C., Meng, X-Y., Hogdall, E., Gentry-Maharaj, A., Ford, J., Burford, B., Nouretdinov, I., Vovk, V., Luo, Z., Menon, U., Gammerman, A., Fung, E. T. & Jacobs, I. 2007 Proceedings of the 15th International Meeting of the European Society of Gynaecological Oncology.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  67. 2006
  68. Published

    Hedging predictions in machine learning

    Gammerman, A. & Vovk, V. 2 Nov 2006

    Research output: Working paper

  69. Published

    Reliable Classification of Acute Leukaemia from Gene Expression Data using Confidence Machines

    Bellotti, T., Luo, Z. & Gammerman, A. 2006 IEEE International Conference on Granular Computing. IEEE, p. 148-153

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  70. 2005
  71. Published
  72. Published

    Prospective gene expression analysis accurately subtypes acute leukaemia in children and establishes a commonality between hyperdiploidy and t(12;21) in acute lymphoblastic leukaemia

    van Delft, F. W., Bellotti, T., Luo, Z., Jones, L. K., Patel, N., Yiannikouris, . O., Hill, A. S., Hubank, M., Kempski, H., Fletcher, D., Chaplin, T., Foot, N., Young, B. D., Hann, I. M., Gammerman, A. & Saha, . V. Aug 2005 In : British Journal of Haematology. 130, 1, p. 26-35

    Research output: Contribution to journalArticle

  73. Published

    Algorithmic Learning in a Random World

    Vovk, V., Gammerman, A. & Shafer, G. 2005 Springer.

    Research output: Book/ReportBook

  74. Published

    Plant promoter prediction with confidence estimation

    Shahmuradov, I. A., Solovyev, V. V. & Gammerman, A. J. 2005 In : Nucleic Acids Research. 33, 3, p. 1069-1076 8 p.

    Research output: Contribution to journalArticle

  75. Published

    Qualified Predictions for Microarray and Proteomics Pattern Diagnostics with Confidence Machines

    Bellotti, T., Luo, Z., Gammerman, A., Van Delft, F. & Saha, V. 2005 In : International Journal of Neural Systems. 15, 4, p. 247-258

    Research output: Contribution to journalArticle

  76. 2004
  77. Published
  78. 2003
  79. Published

    Sequence alignment kernel for recognition of promoter regions

    Gordon, L., Chervonenkis, A. Y., Gammerman, A. J., Shahmuradov, I. A. & Solovyev, V. V. 12 Oct 2003 In : Bioinformatics. 19, 15, p. 1964-1971 8 p.

    Research output: Contribution to journalArticle

  80. Published

    Mondrian Condence Machine

    Vovk, V., Lindsay, D., Nouretdinov, I. & Gammerman, A. Mar 2003 (On-line Compression Modelling project)

    Research output: Working paper

  81. Published

    Mondrian Confidence Machine

    Vovk, V., Lindsay, D., Nouretdinov, I. & Gammerman, A. Mar 2003 (On-line Compression Modelling project)

    Research output: Working paper

  82. Published

    Online region prediction with real teachers

    Ryabko, D., Vovk, V. & Gammerman, A. Mar 2003 (On-line Compression Modelling project)

    Research output: Working paper

  83. Published

    Testing Exchangeability On-line

    Vovk, V., Nouretdinov, I. & Gammerman, A. Feb 2003 (On-line Compression Modelling project)

    Research output: Working paper

  84. Published

    PlantProm: a database of plant promoter sequences

    Shahmuradov, I. A., Gammerman, A. J., Hancock, J. M., Bramley, P. M. & Solovyev, V. V. 1 Jan 2003 In : Nucleic Acids Research. 31, 1, p. 114-117 4 p.

    Research output: Contribution to journalArticle

  85. Published

    Testing exchangeability on-line

    Vovk, V., Nouretdinov, I. & Gammerman, A. 2003 Proceedings of the Twentieth International Conference on Machine Learning. Fawcett, T. & Mishra, N. (eds.). Menlo Park, CA: AAAI Press, p. 768-775

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  86. Published

    Transductive Confidence Machine is universal

    Nouretdinov, I., Vyugin, V. & Gammerman, A. 2003 Lecture Notes in Artificial Intelligence. Springer, Vol. 2842, p. 283-297 16 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  87. 2002
  88. Published

    Prediction algorithms and confidence measures based on algorithmic randomness theory

    Gammerman, A. & Vovk, V. 25 Sep 2002 In : Theoretical Computer Science. 287, 1, p. 209-217 9 p.

    Research output: Contribution to journalArticle

  89. Published

    Inductive Confidence Machine for pattern recognition

    Surkov, D., Gammerman, A. & Vovk, V. 2002 Proceedings of the ICDM 2002 Workshop on the Foundation of Data Mining and Knowledge Discovery. Lin, T. & Ohsuga, S. (eds.). Shimane Medical University, p. 249-255 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  90. Published

    Inductive confidence machines for regression

    Papadopoulos, H., Proedrou, K., Vovk, V. & Gammerman, A. 2002 Proceedings of the Thirteenth European Conference on Machine Learning. Elomaa, T., Mannila, H. & Toivonen, H. (eds.). London: Springer, p. 345-356 12 p. (Lecture Notes in Computer Science; vol. 2430)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  91. Published

    Qualified predictions for large data sets in the case of pattern recognition

    Papadopoulos, H., Vovk, V. & Gammerman, A. 2002 Proceedings of the International Conference on Machine Learning and Applications. Wani, M., Arabnia, H., Cios, K., Hafeez, K. & Kendall, G. (eds.). CSREA Press, p. 159-163 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  92. Published

    Transductive confidence machines for pattern recognition

    Proedrou, K., Nouretdinov, I., Vovk, V. & Gammerman, A. 2002 Proceedings of the Thirteenth European Conference on Machine Learning. Elomaa, T., Mannila, H. & Toivonen, H. (eds.). London: Springer, p. 381-390 10 p. (Lecture Notes in Computer Science; vol. 2430)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  93. 2001
  94. Published

    Pattern recognition and density estimation under the general i.i.d assumption

    Nouretdinov, I., Vovk, V., Vyugin, M. & Gammerman, A. 2001 Proceedings of the Fourteenth Annual Conference on Computational Learning Theory and Fifth European Conference on Computational Learning Theory. Helmbold, D. & Williamson, B. (eds.). London: Springer, p. 337-353 17 p. (Lecture Notes in Artificial Intelligence; vol. 2111)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  95. 2000
  96. Published

    Computationally efficient transductive machines

    Saunders, C., Gammerman, A. & Vovk, V. 2000 Proceedings of the Eleventh International Conference on Algorithmic Learning Theory. Arimura, H., Jain, S. & Sharma, A. (eds.). Berlin: Springer, p. 325-333 9 p. (Lecture Notes in Artificial Intelligence; vol. 1968)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  97. 1999
  98. Published

    Complexity approximation principle

    Vovk, V. & Gammerman, A. 1999 In : The Computer Journal. 42, 4, p. 318-322 5 p.

    Research output: Contribution to journalArticle

  99. Published

    Editorial: Kolmogorov complexity

    Gammerman, A. & Vovk, V. 1999 In : The Computer Journal. 42, p. 251 1 p.

    Research output: Contribution to journalEditorial

  100. Published

    Kolmogorov complexity: Sources, theory and applications

    Gammerman, A. & Vovk, V. 1999 In : The Computer Journal. 42, 4, p. 252-255 4 p.

    Research output: Contribution to journalArticle

  101. Published

    Machine-learning applications of algorithmic randomness

    Vovk, V., Gammerman, A. & Saunders, C. 1999 Proceedings of the Sixteenth International Conference on Machine Learning. San Francisco, CA: Morgan Kaufmann, p. 444-453 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  102. Published

    Special issue editorial - Kolmogorov complexity

    Gammerman, A. & Vovk, V. 1999 In : The Computer Journal. 42, 4, p. 251-251 1 p.

    Research output: Contribution to journalEditorial

  103. Published

    Statistical applications of algorithmic randomness

    Vovk, V. & Gammerman, A. 1999 Bulletin of the International Statistical Institute. Proceedings of the Fifty Second Session: Contributed Papers. book 3 ed. Vol. 58, p. 469-470 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  104. Published

    Support Vector density estimation

    Weston, J., Gammerman, A., Stitson, M., Vapnik, V., Vovk, V. & Watkins, C. 1999 Advances in Kernel Methods: Support Vector Learning. Scholkopf, B., Burghes, C. J. C. & Smola, A. J. (eds.). Cambridge, MA: MIT Press, p. 293-305 13 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  105. Published

    Support Vector regression with ANOVA decomposition kernels

    Stitson, M., Gammerman, A., Vapnik, V., Vovk, V., Watkins, C. & Weston, J. 1999 Advances in Kernel Methods: Support Vector Learning. Scholkopf, B., Burghes, C. J. C. & Smola, A. J. (eds.). Cambridge, MA: MIT Press, p. 285-291 7 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  106. Published

    Transduction with confidence and credibility

    Saunders, C., Gammerman, A. & Vovk, V. 1999 Proceedings of the Sixteenth International Joint Conference on Articial Intelligence. Dean, T. (ed.). San Francisco, CA: Morgan Kaufmann, Vol. 2, p. 722-726 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  107. 1998
  108. Published

    Learning by Support Vector Machine

    Gammerman, A. & Vovk, V. 1998

    Research output: Contribution to conferenceOther

  109. Published

    Learning by transduction

    Gammerman, A., Vapnik, V. & Vovk, V. 1998 Proceedings of the Fourteenth Conference on Uncertainty in Articial Intelligence. San Francisco, CA: Morgan Kaufmann, p. 148-156 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  110. Published

    Ridge Regression learning algorithm in dual variables

    Saunders, C., Gammerman, A. & Vovk, V. 1998 Proceedings of the Fifteenth International Conference on Machine Learning. San Francisco, CA: Morgan Kaufmann, p. 515-521 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  111. 1995
  112. Published

    Exact and approximate algorithms and their implementations in mixed graphical models

    Gammerman, A., Luo, Z., Aitken, C. & Brewer, M. 1995 Probabilistic Reasoning and Bayesian Belief Networks. Henley-on-Thames: Alfred Waller, p. 33-53

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  113. 1994
  114. Published

    Computational systems for mixed graphical models

    Gammerman, A., Luo, Z., Aitken, C. & Brewer, M. 1994 UNICOM Adaptive Computing and Information Processing Seminar . p. 143-163

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  115. Published

    Using multiple chains for Gibbs sampling in mixed graphical association models

    Brewer, M., Luo, Z. & Gammerman, A. 1994 Computational Statistics. p. 185-189

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  116. 1992
  117. Published

    Parameter Learning in Bayesian Belief Networks

    Luo, Z. & Gammerman, A. 1992 Proceeding of IPMU'92. p. 25-28

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  118. Published

    Stochastic simulation in mixed graphical association models

    Brewer, M., Aitken, C., Luo, Z. & Gammerman, A. 1992 Computational Statistics. Dodge, K. & Whittaker, F. (eds.). Vol. 1, p. 257-262

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  119. 1991
  120. Published

    PRESS - a probabilistic reasoning expert system shell

    Luo, Z. & Gammerman, A. 1991 European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, Lecture Notes in Computer Science. Kruse, R. & Siegel, P. (eds.). Springer-Verlag, Vol. 548, p. 232-237

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  121. Published

    Stoss — A stochastic simulation system for Bayesian belief networks

    Luo, Z. & Gammerman, A. 1991 Uncertainty in Knowledge Bases: Lecture Notes in Computer Science. Bouchon-Meunier, B., Yager, R. R. & Zadeh, . L. A. (eds.). Springer, Vol. 521, p. 97-105

    Research output: Chapter in Book/Report/Conference proceedingChapter

  122. 1990
  123. Published

    A probabilistic reasoning system based on a causal graph approach

    Luo, Z. & Gammerman, A. 1990 Proceeding of IEE Colloquium on Knowledge Engineering.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  124. Published

    A stochastic simulation system and its application to causal models

    Luo, Z. & Gammerman, A. 1990 Proceeding of 3rd International Conference on IPMU in Knowledge-Based Systems. p. 186-189

    Research output: Chapter in Book/Report/Conference proceedingConference contribution