Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters. / Kalnishkan, Yuri.

Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Proceedings: volume 1810 of Lecture Notes in Artificial Intelligence. Springer, 2000. p. 203-210 (Lecture Notes in Artificial Intelligence; Vol. 1810).

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

Published

Standard

Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters. / Kalnishkan, Yuri.

Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Proceedings: volume 1810 of Lecture Notes in Artificial Intelligence. Springer, 2000. p. 203-210 (Lecture Notes in Artificial Intelligence; Vol. 1810).

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

Harvard

Kalnishkan, Y 2000, Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters. in Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Proceedings: volume 1810 of Lecture Notes in Artificial Intelligence. Lecture Notes in Artificial Intelligence, vol. 1810, Springer, pp. 203-210. https://doi.org/10.1007/3-540-45164-1_21

APA

Kalnishkan, Y. (2000). Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters. In Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Proceedings: volume 1810 of Lecture Notes in Artificial Intelligence (pp. 203-210). (Lecture Notes in Artificial Intelligence; Vol. 1810). Springer. https://doi.org/10.1007/3-540-45164-1_21

Vancouver

Kalnishkan Y. Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters. In Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Proceedings: volume 1810 of Lecture Notes in Artificial Intelligence. Springer. 2000. p. 203-210. (Lecture Notes in Artificial Intelligence). https://doi.org/10.1007/3-540-45164-1_21

Author

Kalnishkan, Yuri. / Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters. Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Proceedings: volume 1810 of Lecture Notes in Artificial Intelligence. Springer, 2000. pp. 203-210 (Lecture Notes in Artificial Intelligence).

BibTeX

@inproceedings{1a5132a299144f38ac1a64d97d210af6,
title = "Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters",
author = "Yuri Kalnishkan",
year = "2000",
doi = "10.1007/3-540-45164-1_21",
language = "English",
series = "Lecture Notes in Artificial Intelligence",
publisher = "Springer",
pages = "203--210",
booktitle = "Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Proceedings",

}

RIS

TY - GEN

T1 - Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters

AU - Kalnishkan, Yuri

PY - 2000

Y1 - 2000

U2 - 10.1007/3-540-45164-1_21

DO - 10.1007/3-540-45164-1_21

M3 - Conference contribution

T3 - Lecture Notes in Artificial Intelligence

SP - 203

EP - 210

BT - Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Proceedings

PB - Springer

ER -