Projects per year
Abstract
There are two methods of set prediction that are provably valid under the assumption of randomness: transductive conformal prediction and inductive conformal prediction. The former method is informationally efficient but often lacks computational efficiency. The latter method is, vice versa, computationally efficient but less efficient informationally. This talk discusses a new method, which we call crossconformal prediction, that combines informational efficiency of transductive conformal prediction with computational efficiency of inductive conformal prediction. The downside of the new method is that its validity is an empirical rather than mathematical fact.
Original language  English 

Title of host publication  Proceedings of the Fifth Workshop on InformationTheoretic Methods in Science and Engineering 
Editors  Steven de Rooij, Wojciech Kotlowski, Jorma Rissanen, Petri Millimaki, Teemu Roos , Kenji Yamanishi 
Place of Publication  Amsterdam 
Publisher  CWI 
Pages  4851 
Number of pages  4 
Publication status  Published  Sept 2012 
Projects
 1 Finished

Development of New Venn Prediction Methods for Osteoporosis Risk Assessment
Gammerman, A. (PI) & Vovk, V. (CoI)
Research Promotion Foundation of Cyprus
1/09/11 → 31/08/13
Project: Research