Scott, Stephen D.

9 publications

AAAI 2013 Selecting the Appropriate Consistency Algorithm for CSPs Using Machine Learning Classifiers Daniel J. Geschwender, Shant Karakashian, Robert J. Woodward, Berthe Y. Choueiry, Stephen D. Scott

MLJ 2008 Improved MCMC Sampling Methods for Estimating Weighted Sums in Winnow with Application to DNF Learning Qingping Tao, Stephen D. Scott

MLJ 2008 On Reoptimizing Multi-Class Classifiers Chris Bourke, Kun Deng, Stephen D. Scott, Robert E. Schapire, N. V. Vinodchandran

ICML 2005 New Kernels for Protein Structural Motif Discovery and Function Classification Chang Wang, Stephen D. Scott

MLJ 1999 A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns Sally A. Goldman, Stephen D. Scott

COLT 1997 Agnostic Learning of Geometric Patterns (Extended Abstract) Sally A. Goldman, Stephen Kwek, Stephen D. Scott

COLT 1997 Learning from Examples with Unspecified Attribute Values (Extended Abstract) Sally A. Goldman, Stephen Kwek, Stephen D. Scott

ICML 1996 A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geormetric Patterns Sally A. Goldman, Stephen D. Scott

MLJ 1996 PAC Learning of One-Dimensional Patterns Paul W. Goldberg, Sally A. Goldman, Stephen D. Scott