Transduction with confidence and credibility

IJCAI International Joint Conference on Artificial Intelligence

Volumn 2, Issue , 1999, Pages 722-726

  Saunders, C ^a   Gammerman, A ^a   Vovk, V ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CONFIDENCE VALUES; CREDIBILITY MEASURE; TRANSDUCTIVE LEARNING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BACTERIOPHAGES;

SUPPORT VECTOR MACHINES;

EID: 84880657197     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. K. Bennett and A. Demiriz. Semi-supervised support vector machines. In Proceedings of Neural Information Processing Systems, 1998.
2. A. Gammerman, V. Vapnik, and V. Vovk. Learning by transduction. In Uncertainty in Artificial Intelligence, pages 148-155, 1998.
3. A. Gammerman. Machine learning: Progress and prospects. RHUL, ISBN 0900145935, 1997.
4. Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. J. Jackel. "Handwritten digit recognition with back-propagation network,". Advances in Neural Information Processing Systems, pages 396-404, 1990.
5. J. Platt. Sequential minimal optimisation: A fast algorithm for training support vector machines. Technical report, Microsoft Research, 1998.
6. C. Saunders, A, Gammerman, and V, Vovk. Ridge regression learning algorithm in dual variables. In ICML. Proceedings of the 15th International Conference on Machine Learning, pages 515-521. Morgan Kaufmann, 1998.
7. V. N. Vapnik. The Nature of Statistical Learning Theory. Springer, 1995.
8. V. N. Vapnik. Statistical Learning Theory. Wiley, 1998.
9. V. Vovk and A. Gammerman. Algorithmic theory of randomness. Forthcoming Book, 1999.