Learning Model Bias

NIPS 1995: Proceedings of the 8th International Conference on Neural Information Processing Systems

Volumn , Issue , 1995, Pages 169-175

  Baxter, Jonathan ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DOMAIN SPECIFIC; GENERALISATION; INTERNAL REPRESENTATION; LEARN+; LEARNING MODELS; MODEL BIAS;

EID: 85156266958     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Y. S. Abu-Mostafa. Learning from Hints in Neural Networks. Journal of Complecity, 6:192-198, 1989.
2. J. Baxter. A Bayesian Model of Bias Learning. Submitted to COLT 1996, 1995.
3. J. Baxter. Learning Internal Representations. PhD thesis, Department of Mathematics and Statistics, The F under s University of South Australia, 1995. Draft copy in Neuroprose Archive under "/pub/neuroprose/Thesis/baxter.thesis.ps. Z".
4. J. Baxter. Learning Internal Representations. In Proceedings of the Eighth International Conference on Computational Learning Theory, Santa Cruz, California, 1995. ACM Press.
5. R. Caruana. Learning Many Related Tasks at the Same Time with Backpropagation. In Advances in Neural Information Processing 5, 1993.
6. S. Geman, E. Bienenstock, and R. Doursat. Neural networks and the bias/variance dilemma. Neural Comput., 4:1-58, 1992.
7. W. S. Lee, P. L. Bartlett, and R. C. Williamson. Sample Complexity of Agnostic Learning with Squared Loss. In preparation, 1995.
8. T. M. Mitchell and S. Thrun. Learning One More Thing. Technical Report CMU-CS-94-184, CMU, 1994.