Sally A. Goldman

Jason E. Fritts

Comput. Vis. Image Underst., 2008

Veritas: Combining Expert Opinions without Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

2006

Real-valued multiple-instance learning with queries.

[BibT_eX]

[DOI]

Daniel R. Dooly

J. Comput. Syst. Sci., 2006

Local image representations using pruned salient points with applications to CBIR.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM International Conference on Multimedia, 2006

MI-Winnow: A New Multiple-Instance Learning Algorithm.

[BibT_eX]

[DOI]

Sharath R. Cholleti

Rouhollah Rahmani

Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

MISSL: multiple-instance semi-supervised learning.

[BibT_eX]

[DOI]

Rouhollah Rahmani

Proceedings of the Machine Learning, 2006

Image Segmentation using Salient Points-Based Object Templates.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2006

Perceptual Information of Images and the Bias in Homogeneity-based Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

Meta-Evaluation of Image Segmentation Using Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Special Issue: Learning Theory 2003.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 2005

Localized content based image retrieval.

[BibT_eX]

[DOI]

Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005

A fast texture feature extraction method for region-based image segmentation.

[BibT_eX]

[DOI]

Jason E. Fritts

Proceedings of the Electronic Imaging: Image and Video Communications and Processing 2005, 2005

2004

An entropy-based objective evaluation method for image segmentation.

[BibT_eX]

[DOI]

Jason E. Fritts

Proceedings of the Storage and Retrieval Methods and Applications for Multimedia 2004, 2004

Democratic Co-Learning.

[BibT_eX]

[DOI]

Yan Zhou

Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

2003

Learning from examples with unspecified attribute values.

[BibT_eX]

[DOI]

Inf. Comput., 2003

Multiple-Instance Learning of Real-Valued Geometric Patterns.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2003

2002

On learning unions of pattern languages and tree patterns in the mistake bound model.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2002

Multiple-Instance Learning of Real-Valued Data.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2002

Special Issue on COLT 2000 - Guest Editor's Foreword.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 2002

Content-Based Image Retrieval Using Multiple-Instance Learning.

[BibT_eX]

Proceedings of the Machine Learning, 2002

2001

Agnostic Learning of Geometric Patterns.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 2001

On-line analysis of the TCP acknowledgment delay problem.

[BibT_eX]

[DOI]

Daniel R. Dooly

J. ACM, 2001

EM-DD: An Improved Multiple-Instance Learning Technique.

[BibT_eX]

[DOI]

Qi Zhang

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

Online Scheduling with Hard Deadlines.

[BibT_eX]

[DOI]

Jyoti Parwatikar

Subhash Suri

J. Algorithms, 2000

Enhancing Supervised Learning with Unlabeled Data.

[BibT_eX]

Yan Zhou

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns.

[BibT_eX]

[DOI]

Mach. Learn., 1999

On Learning Unions of Pattern Languages and Tree Patterns.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 10th International Conference, 1999

1998

Exact Learning of Discretized Geometric Concepts.

[BibT_eX]

[DOI]

SIAM J. Comput., 1998

Learning with Unreliable Boundary Queries.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 1998

Noise-Tolerant Distribution-Free Learning of General Geometric Concepts.

[BibT_eX]

[DOI]

J. ACM, 1998

Noise-Tolerant Parallel Learning of Geometric Concepts.

[BibT_eX]

[DOI]

Nader H. Bshouty

Inf. Comput., 1998

TCP Dynamic Acknowledgment Delay: Theory and Practice (Extended Abstract).

[BibT_eX]

[DOI]

Daniel R. Dooly

Proceedings of the Thirtieth Annual ACM Symposium on the Theory of Computing, 1998

1997

On-line Scheduling with Hard Deadlines (Extended Abstract).

[BibT_eX]

[DOI]

Jyoti Parwatikar

Subhash Suri

Proceedings of the Algorithms and Data Structures, 5th International Workshop, 1997

Agnostic Learning of Geometric Patterns (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Tenth Annual Conference on Computational Learning Theory, 1997

Learning from Examples with Unspecified Attribute Values (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Tenth Annual Conference on Computational Learning Theory, 1997

1996

PAC Learning of One-Dimensional Patterns.

[BibT_eX]

[DOI]

Paul W. Goldberg

Mach. Learn., 1996

Teaching a Smarter Learner.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 1996

Learning from a Consistently Ignorant Teacher.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 1996

Asking Questions to Minimize Errors.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 1996

A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geormetric Patterns.

[BibT_eX]

Proceedings of the Machine Learning, 1996

1995

On the Sample Complexity of Weakly Learning

[BibT_eX]

[DOI]

Inf. Comput., March, 1995

Learning Binary Relations Using Weighted Majority Voting.

[BibT_eX]

[DOI]

Manfred K. Warmuth

Mach. Learn., 1995

Guest Editor's Introduction.

[BibT_eX]

[DOI]

Mach. Learn., 1995

On the Complexity of Teaching.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 1995

Can PAC Learning Algorithms Tolerate Random Attribute Noise?

[BibT_eX]

[DOI]

Robert H. Sloan

Algorithmica, 1995

1994

The Power of Self-Directed Learning.

[BibT_eX]

[DOI]

Robert H. Sloan

Mach. Learn., 1994

Learning Unions of Boxes with Membership and Equivalence Queries.

[BibT_eX]

[DOI]

Paul W. Goldberg

Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, 1994

Learning One-Dimensional Geometric Patterns Under One-Sided Random Misclassification Noise.

[BibT_eX]

[DOI]

Paul W. Goldberg

Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, 1994

1993

Learning Binary Relations and Total Orders.

[BibT_eX]

[DOI]

Ronald L. Rivest

SIAM J. Comput., 1993

Exact Identification of Read-Once Formulas Using Fixed Points of Amplification Functions.

[BibT_eX]

[DOI]

SIAM J. Comput., 1993

Teaching a Smart Learner.

[BibT_eX]

[DOI]

Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993

1992

Learning <i>k</i>-Term DNF Formulas with an Incomplete Membership Oracle.

[BibT_eX]

[DOI]

Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992

1990

Exact Identification of Circuits Using Fixed Points of Amplification Functions (Extended Abstract)

[BibT_eX]

[DOI]

Proceedings of the 31st Annual Symposium on Foundations of Computer Science, 1990

Exact Identification of Circuits Using Fixed Points of Amplification Functions (Abstract).

[BibT_eX]

[DOI]

Proceedings of the Third Annual Workshop on Computational Learning Theory, 1990

On the Sample Complexity of Weak Learning.

[BibT_eX]

[DOI]

Proceedings of the Third Annual Workshop on Computational Learning Theory, 1990

1989

A Space Efficient Greedy Triangulation Algorithm.

[BibT_eX]

[DOI]

Inf. Process. Lett., 1989

Learning Binary Relations and Total Orders (Extended Abstract)

[BibT_eX]

[DOI]

Ronald L. Rivest

Proceedings of the 30th Annual Symposium on Foundations of Computer Science, Research Triangle Park, North Carolina, USA, 30 October, 1989

1986

A non-iterative maximum entropy algorithm.

[BibT_eX]

[DOI]