Criterion of calibration for transductive confidence machine with limited feedback

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2842, Issue , 2003, Pages 259-267

  Nouretdinov, Ilia ^a   Vovk, Vladimir ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; PROBABILITY DISTRIBUTIONS; CALIBRATION; ONLINE SYSTEMS; PROBABILITY; PROBLEM SOLVING;

LIMITED FEEDBACK; ONLINE PREDICTION; TRANSDUCTIVE CONFIDENCE MACHINE; LOGARITHMIC FRACTIONS; ON-LINE PREDICTIONS;

CALIBRATION; FEEDBACK;

EID: 7444255543     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39624-6_21     Document Type: Conference Paper

References (5)

1. Ilia Nouretdinov, Thomas Melluish, and Vladimir Vovk. Ridge Regression Confidence Machine. In Proceedings of the 18th International Conference on Machine Learning, 2001.
2. Daniil Ryabko, Vladimir Vovk, and Alex Gammerman. Online region prediction with real teachers. Submitted for publication.
3. Craig Saunders, Alex Gammerman, and Vladimir Vovk. Transduction with confidence and credibility. In Proceedings of the 16th International Joint Conference on Artificial Intelligence, pp. 722-726, 1999.
4. Vladimir Vovk, Alex Gammerman, Craig Saunders. Machine-learning applications of algorithmic randomness. Proceedings of the 16th International Conference on Machine Learning, San Francisco, CA: Morgan Kaufmann, pp. 444-453, 1999.
5. Vladimir Vovk. On-line Confidence Machines are well-calibrated. Proceedings of the 43rd Annual Symposium on Foundations of Computer Science, IEEE Computer Society, 2002.