rst-Case ratic Loss Bounds for Pre sing Linear Functions and Gra
暂无分享,去创建一个
[1] Charles R. Johnson,et al. Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.
[2] Manfred K. Warmuth,et al. How to use expert advice , 1997, JACM.
[3] Manfred K. Warmuth,et al. Exponentiated Gradient Versus Gradient Descent for Linear Predictors , 1997, Inf. Comput..
[4] Manfred K. Warmuth,et al. The Weighted Majority Algorithm , 1994, Inf. Comput..
[5] David Haussler,et al. How to use expert advice , 1993, STOC.
[6] Andrew R. Barron,et al. Universal approximation bounds for superpositions of a sigmoidal function , 1993, IEEE Trans. Inf. Theory.
[7] Neri Merhav,et al. Universal sequential learning and decision from individual data sequences , 1992, COLT '92.
[8] Philip M. Long,et al. The learning complexity of smooth functions of a single variable , 1992, COLT '92.
[9] Simon Haykin,et al. Adaptive filter theory (2nd ed.) , 1991 .
[10] Philip M. Long,et al. On-line learning of linear functions , 1991, STOC '91.
[11] Jan Mycielski,et al. Application of learning theorems , 1991, Fundam. Informaticae.
[12] Vladimir Vovk,et al. Aggregating strategies , 1990, COLT '90.
[13] N. Young. An Introduction to Hilbert Space , 1988 .
[14] D. Angluin. Queries and Concept Learning , 1988 .
[15] Bernard Widrow,et al. Adaptive switching circuits , 1988 .
[16] N. Littlestone. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm , 1987, 28th Annual Symposium on Foundations of Computer Science (sfcs 1987).
[17] A. P. Dawid,et al. Present position and potential developments: some personal views , 1984 .
[18] David G. Luenberger,et al. Linear and nonlinear programming , 1984 .
[19] G. Golub. Matrix computations , 1983 .
[20] M. M. Sondhi,et al. An adaptive echo canceller , 1967 .