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close this section of the library Haussler, David
View the document Haussler, David (David Haussler, Jyrki Kivinen and Manfred K. Warmuth) -- Tight worst-case loss bounds for predicting with expert advice - 1995
View the document Haussler, David (David Haussler and Manfred Opper) -- General bounds on the mutual information between a parameter and n conditionally independent observations - 1995
View the document Haussler, David (David Haussler, Michael Kearns and Robert E. Schapire) -- Bounds on the sample complexity of Bayesian learning using information theory and the VC dimension - 1994
View the document Haussler, David (Noga Alon, Shai Ben-David, Nicolò Cesa-Bianchi and David Haussler) -- Scale-sensitive dimensions, uniform convergence, and learnability - 1997
View the document Haussler, David (Shai Ben-David, Nicolò Cesa-Bianchi, David Haussler and Philip M. Long) -- Characterizations of learnability for classes of {0,dots, n}-valued functions - 1995
View the document Haussler, David (David Haussler) -- A brief look at some machine learning problems in genomics - 1997
View the document Haussler, David (Nicolò Cesa-Bianchi, Yaov Freund, David Haussler, David P. Helmbold, Robert E. Schapire and Manfred K. Warmuth) -- How to use expert advice - 1997
View the document Haussler, David (Yasubumi Sakakibara, Michael Brown, Richard Hughey, I. Saira Mian, Kimmen Sjölander, Rebecca C. Underwood and David Haussler) -- Stochastic Context-Free Grammars for tRNA modeling - 1994
View the document Haussler, David (Manfred Opper and David Haussler) -- General Bounds for Predictive Errors in Supervised Learning - 1995
View the document Haussler, David (Manfred Opper and David Haussler) -- Bounds for Predictive Errors in the Statistical Mechanics of in Supervised Learning - 1995
View the document Haussler, David (Yasubumi Sakakibara, Michael Brown, Richard Hughey, I. Saira Mian, Kimmen Sjölander, Rebecca C. Underwood and David Haussler) -- Recent Methods for RNA Modeling Using Stochastic Context-Free Grammars - 1994
View the document Haussler, David (Anselm Blumer, Andrzej Ehrenfeucht, David Haussler and Manfred K. Warmuth) -- Learnability and the Vapnik-Chervonenkis Dimension - 1989
View the document Haussler, David (Giulia Pagallo and David Haussler) -- Boolean Feature Discovery in Empirical Learning - 1990
View the document Haussler, David (David Haussler and Manfred Opper) -- Mutual Information and Bayes Methods for Learning a Distribution - 1995