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Workshop on Comput. Learning Theory (pp. 112--127), San Mateo, CA: Morgan Kaufmann. Sompolinsky, H., Tishby, N., & Seung, H.S. (1990). Learning from examples in large neural networks. Phys. Rev.

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Agnostic Learning and Single Hidden Layer Neural Networks - Lee (1996)   (1 citation)  (Correct)

.... Efficient agnostic learning of neural networks with bounded fan in , in Proc. 6th Australian Conference on Neural Networks , pp. 201 204. ffl Lee, W. S. Bartlett, P. L. and Williamson, R. C. 1995) On efficient agnostic learning of linear combinations of basis functions , in Proc. 8th Annu. Workshop on Comput. Learning Theory , ACM Press, New York, NY, pp. 369 376. ffl Lee, W. S. Bartlett, P. L. and Williamson, R. C. 1995) The importance of convexity in learning with squared loss . Submitted to the 9th Annu. Workshop on Comput. Learning Theory. During my doctoral studies, I did some work listed ....

....of linear combinations of basis functions , in Proc. 8th Annu. Workshop on Comput. Learning Theory , ACM Press, New York, NY, pp. 369 376. ffl Lee, W. S. Bartlett, P. L. and Williamson, R. C. 1995) The importance of convexity in learning with squared loss . Submitted to the 9th Annu. Workshop on Comput. Learning Theory. During my doctoral studies, I did some work listed below which is not covered in this thesis. ii ffl Lee, W. S. Bartlett, P. L. and Williamson, R. C. 1994) The Vapnik Chervonenkis dimension of neural networks with restricted parameter ranges , in Proc. 5th Australian ....

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Workshop on Comput. Learning Theory', ACM Press, New York, NY, pp. 428--439. Ibragimov, I. A. & Hasminskii,R. Z. (1980), `On nonparametric estimation of regression', Doklady Acad. Nauk SSSR 252, 780--784.


Rigorous Learning Curve Bounds from Statistical Mechanics - Haussler, Kearns, Seung.. (1996)   (40 citations)  (Correct)

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Workshop on Comput. Learning Theory (pp. 112--127), San Mateo, CA: Morgan Kaufmann. Sompolinsky, H., Tishby, N., & Seung, H.S. (1990). Learning from examples in large neural networks. Phys. Rev.


Efficient Search Techniques for the Inference of Minimum .. - Oliveira.. (1997)   (1 citation)  (Correct)

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Workshop on Comput. Learning Theory, 45--52. ACM Press, New York, NY. Oliveira, A. L., and Edwards, S. 1996. Limits of exact algorithms for inference of minimum size finite state machines.


Machine Learning Bias, Statistical Bias, and Statistical.. - Dietterich   (Correct)

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ACM Workshop on Comput. Learning Theory, pp. 13--20. ACM Press, New York, NY. Kong, E. B., & Dietterich, T. G. (1995). Error-correcting output coding works by correcting bias and variance. In Submitted to the International Conference on Machine Learning.


On-line Learning of Binary Relations and Its Application - Abe, Nakamura, Li (1995)   (Correct)

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Workshop on Comput. Learning Theory, July 1995.

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