Goldman, Sally A.

32 publications

ICML 2006 MISSL: Multiple-Instance Semi-Supervised Learning Rouhollah Rahmani, Sally A. Goldman

CVPR 2006 Meta-Evaluation of Image Segmentation Using Machine Learning Hui Zhang, Sharath R. Cholleti, Sally A. Goldman, Jason E. Fritts

CVPRW 2006 Perceptual Information of Images and the Bias in Homogeneity-Based Segmentation Hui Zhang, Sally A. Goldman

ICML 2002 Content-Based Image Retrieval Using Multiple-Instance Learning Qi Zhang, Sally A. Goldman, Wei Yu, Jason E. Fritts

JMLR 2002 Multiple-Instance Learning of Real-Valued Data Daniel R. Dooly, Qi Zhang, Sally A. Goldman, Robert A. Amar

NeurIPS 2001 EM-DD: An Improved Multiple-Instance Learning Technique Qi Zhang, Sally A. Goldman

ICML 2001 Multiple-Instance Learning of Real-Valued Data Robert A. Amar, Daniel R. Dooly, Sally A. Goldman, Qi Zhang

ALT 2001 Real-Valued Multiple-Instance Learning with Queries Daniel R. Dooly, Sally A. Goldman, Stephen Kwek

ICML 2000 Enhancing Supervised Learning with Unlabeled Data Sally A. Goldman, Yan Zhou

COLT 2000 Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28 - July 1, 2000, Palo Alto, California, USA Nicolò Cesa-Bianchi, Sally A. Goldman

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

ALT 1999 On Learning Unions of Pattern Languages and Tree Patterns Sally A. Goldman, Stephen Kwek

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

MLJ 1995 Guest Editor's Introduction Sally A. Goldman

MLJ 1995 Learning Binary Relations Using Weighted Majority Voting Sally A. Goldman, Manfred K. Warmuth

COLT 1995 Learning with Unreliable Boundary Queries Avrim Blum, Prasad Chalasani, Sally A. Goldman, Donna K. Slonim

COLT 1995 Noise-Tolerant Parallel Learning of Geometric Concepts Nader H. Bshouty, Sally A. Goldman, H. David Mathias

COLT 1994 Learning One-Dimensional Geometric Patterns Under One-Sided Random Misclassification Noise Paul W. Goldberg, Sally A. Goldman

COLT 1994 Learning Unions of Boxes with Membership and Equivalence Queries Paul W. Goldberg, Sally A. Goldman, H. David Mathias

COLT 1994 Learning from a Consistently Ignorant Teacher Michael Frazier, Sally A. Goldman, Nina Mishra, Leonard Pitt

MLJ 1994 The Power of Self-Directed Learning Sally A. Goldman, Robert H. Sloan

COLT 1993 Asking Questions to Minimize Errors Nader H. Bshouty, Sally A. Goldman, Thomas R. Hancock, Sleiman Matar

COLT 1993 Learning Binary Relations Using Weighted Majority Voting Sally A. Goldman, Manfred K. Warmuth

COLT 1993 Teaching a Smart Learner Sally A. Goldman, H. David Mathias

COLT 1992 Learning K-Term DNF Formulas with an Incomplete Membership Oracle Sally A. Goldman, H. David Mathias

COLT 1991 On the Complexity of Teaching Sally A. Goldman, Michael J. Kearns

COLT 1990 Exact Identification of Circuits Using Fixed Points of Amplification Functions (Abstract) Sally A. Goldman, Michael J. Kearns, Robert E. Schapire

COLT 1990 On the Sample Complexity of Weak Learning Sally A. Goldman, Michael J. Kearns, Robert E. Schapire

UAI 1986 A Non-Iterative Maximum Entropy Algorithm Sally A. Goldman, Ronald L. Rivest