| 2008 |
|---|
| 66 | EE | Sharath R. Cholleti,
Sally A. Goldman,
Avrim Blum,
David G. Politte,
Steven Don:
Veritas: Combining Expert Opinions without Labeled Data.
ICTAI (1) 2008: 45-52 |
| 65 | EE | Hui Zhang,
Jason E. Fritts,
Sally A. Goldman:
Image segmentation evaluation: A survey of unsupervised methods.
Computer Vision and Image Understanding 110(2): 260-280 (2008) |
| 2006 |
|---|
| 64 | EE | Hui Zhang,
Rouhollah Rahmani,
Sharath R. Cholleti,
Sally A. Goldman:
Local image representations using pruned salient points with applications to CBIR.
ACM Multimedia 2006: 287-296 |
| 63 | EE | Hui Zhang,
Sharath R. Cholleti,
Sally A. Goldman,
Jason E. Fritts:
Meta-Evaluation of Image Segmentation Using Machine Learning.
CVPR (1) 2006: 1138-1145 |
| 62 | EE | Hui Zhang,
Sally A. Goldman:
Image Segmentation using Salient Points-Based Object Templates.
ICIP 2006: 765-768 |
| 61 | EE | Rouhollah Rahmani,
Sally A. Goldman:
MISSL: multiple-instance semi-supervised learning.
ICML 2006: 705-712 |
| 60 | EE | Sharath R. Cholleti,
Sally A. Goldman,
Rouhollah Rahmani:
MI-Winnow: A New Multiple-Instance Learning Algorithm.
ICTAI 2006: 336-346 |
| 59 | EE | Daniel R. Dooly,
Sally A. Goldman,
Stephen Kwek:
Real-valued multiple-instance learning with queries.
J. Comput. Syst. Sci. 72(1): 1-15 (2006) |
| 2005 |
|---|
| 58 | EE | Rouhollah Rahmani,
Sally A. Goldman,
Hui Zhang,
John Krettek,
Jason E. Fritts:
Localized content based image retrieval.
Multimedia Information Retrieval 2005: 227-236 |
| 57 | EE | Sally A. Goldman:
Special Issue: Learning Theory 2003.
J. Comput. Syst. Sci. 71(3): 249 (2005) |
| 2004 |
|---|
| 56 | EE | Yan Zhou,
Sally A. Goldman:
Democratic Co-Learning.
ICTAI 2004: 594-602 |
| 2003 |
|---|
| 55 | | Sally A. Goldman,
Stephen D. Scott:
Multiple-Instance Learning of Real-Valued Geometric Patterns.
Ann. Math. Artif. Intell. 39(3): 259-290 (2003) |
| 54 | EE | Sally A. Goldman,
Stephen Kwek,
Stephen D. Scott:
Learning from examples with unspecified attribute values.
Inf. Comput. 180(2): 82-100 (2003) |
| 2002 |
|---|
| 53 | | Qi Zhang,
Sally A. Goldman,
Wei Yu,
Jason E. Fritts:
Content-Based Image Retrieval Using Multiple-Instance Learning.
ICML 2002: 682-689 |
| 52 | EE | Sally A. Goldman:
Special Issue on COLT 2000 - Guest Editor's Foreword.
J. Comput. Syst. Sci. 64(1): 1 (2002) |
| 51 | EE | Daniel R. Dooly,
Qi Zhang,
Sally A. Goldman,
Robert A. Amar:
Multiple-Instance Learning of Real-Valued Data.
Journal of Machine Learning Research 3: 651-678 (2002) |
| 50 | | Sally A. Goldman,
Stephen Kwek:
On learning unions of pattern languages and tree patterns in the mistake bound model.
Theor. Comput. Sci. 288(2): 237-254 (2002) |
| 2001 |
|---|
| 49 | EE | Daniel R. Dooly,
Sally A. Goldman,
Stephen Kwek:
Real-Valued Multiple-Instance Learning with Queries.
ALT 2001: 167-180 |
| 48 | | Robert A. Amar,
Daniel R. Dooly,
Sally A. Goldman,
Qi Zhang:
Multiple-Instance Learning of Real-Valued Data.
ICML 2001: 3-10 |
| 47 | EE | Qi Zhang,
Sally A. Goldman:
EM-DD: An Improved Multiple-Instance Learning Technique.
NIPS 2001: 1073-1080 |
| 46 | EE | Daniel R. Dooly,
Sally A. Goldman,
Stephen D. Scott:
On-line analysis of the TCP acknowledgment delay problem.
J. ACM 48(2): 243-273 (2001) |
| 45 | | Sally A. Goldman,
Stephen Kwek,
Stephen D. Scott:
Agnostic Learning of Geometric Patterns.
J. Comput. Syst. Sci. 62(1): 123-151 (2001) |
| 2000 |
|---|
| 44 | | Nicolò Cesa-Bianchi,
Sally A. Goldman:
Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28 - July 1, 2000, Palo Alto, California
Morgan Kaufmann 2000 |
| 43 | | Sally A. Goldman,
Yan Zhou:
Enhancing Supervised Learning with Unlabeled Data.
ICML 2000: 327-334 |
| 42 | | Sally A. Goldman,
Jyoti Parwatikar,
Subhash Suri:
Online Scheduling with Hard Deadlines.
J. Algorithms 34(2): 370-389 (2000) |
| 1999 |
|---|
| 41 | EE | Sally A. Goldman,
Stephen Kwek:
On Learning Unions of Pattern Languages and Tree Patterns.
ATL 1999: 347-363 |
| 40 | | Sally A. Goldman,
Stephen D. Scott:
A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns.
Machine Learning 37(1): 5-49 (1999) |
| 1998 |
|---|
| 39 | EE | Daniel R. Dooly,
Sally A. Goldman,
Stephen D. Scott:
TCP Dynamic Acknowledgment Delay: Theory and Practice (Extended Abstract).
STOC 1998: 389-398 |
| 38 | | Nader H. Bshouty,
Sally A. Goldman,
H. David Mathias:
Noise-Tolerant Parallel Learning of Geometric Concepts.
Inf. Comput. 147(1): 89-110 (1998) |
| 37 | EE | Nader H. Bshouty,
Sally A. Goldman,
H. David Mathias,
Subhash Suri,
Hisao Tamaki:
Noise-Tolerant Distribution-Free Learning of General Geometric Concepts.
J. ACM 45(5): 863-890 (1998) |
| 36 | | Avrim Blum,
Prasad Chalasani,
Sally A. Goldman,
Donna K. Slonim:
Learning with Unreliable Boundary Queries.
J. Comput. Syst. Sci. 56(2): 209-222 (1998) |
| 35 | | Nader H. Bshouty,
Paul W. Goldberg,
Sally A. Goldman,
H. David Mathias:
Exact Learning of Discretized Geometric Concepts.
SIAM J. Comput. 28(2): 674-699 (1998) |
| 1997 |
|---|
| 34 | EE | Sally A. Goldman,
Stephen Kwek,
Stephen D. Scott:
Learning from Examples with Unspecified Attribute Values (Extended Abstract).
COLT 1997: 231-242 |
| 33 | EE | Sally A. Goldman,
Stephen Kwek,
Stephen D. Scott:
Agnostic Learning of Geometric Patterns (Extended Abstract).
COLT 1997: 325-333 |
| 32 | | Sally A. Goldman,
Jyoti Parwatikar,
Subhash Suri:
On-line Scheduling with Hard Deadlines (Extended Abstract).
WADS 1997: 258-271 |
| 1996 |
|---|
| 31 | | Sally A. Goldman,
Stephen D. Scott:
A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geormetric Patterns.
ICML 1996: 191-199 |
| 30 | EE | Nader H. Bshouty,
Sally A. Goldman,
H. David Mathias,
Subhash Suri,
Hisao Tamaki:
Noise-Tolerant Distribution-Free Learning of General Geometric Concepts.
STOC 1996: 151-160 |
| 29 | | Sally A. Goldman,
H. David Mathias:
Teaching a Smarter Learner.
J. Comput. Syst. Sci. 52(2): 255-267 (1996) |
| 28 | | Nader H. Bshouty,
Sally A. Goldman,
Thomas R. Hancock,
Sleiman Matar:
Asking Questions to Minimize Errors.
J. Comput. Syst. Sci. 52(2): 268-286 (1996) |
| 27 | | Michael Frazier,
Sally A. Goldman,
Nina Mishra,
Leonard Pitt:
Learning from a Consistently Ignorant Teacher.
J. Comput. Syst. Sci. 52(3): 471-492 (1996) |
| 26 | | Paul W. Goldberg,
Sally A. Goldman,
Stephen D. Scott:
PAC Learning of One-Dimensional Patterns.
Machine Learning 25(1): 51-70 (1996) |
| 1995 |
|---|
| 25 | EE | Nader H. Bshouty,
Sally A. Goldman,
H. David Mathias:
Noise-Tolerant Parallel Learning of Geometric Concepts.
COLT 1995: 345-352 |
| 24 | EE | Avrim Blum,
Prasad Chalasani,
Sally A. Goldman,
Donna K. Slonim:
Learning with Unreliable Boundary Queries.
COLT 1995: 98-107 |
| 23 | | Sally A. Goldman,
Robert H. Sloan:
Can PAC Learning Algorithms Tolerate Random Attribute Noise?
Algorithmica 14(1): 70-84 (1995) |
| 22 | | Sally A. Goldman,
Michael J. Kearns,
Robert E. Schapire:
On the Sample Complexity of Weakly Learning
Inf. Comput. 117(2): 276-287 (1995) |
| 21 | | Sally A. Goldman,
Michael J. Kearns:
On the Complexity of Teaching.
J. Comput. Syst. Sci. 50(1): 20-31 (1995) |
| 20 | | Sally A. Goldman:
Guest Editor's Introduction.
Machine Learning 18(2-3): 127-129 (1995) |
| 19 | | Sally A. Goldman,
Manfred K. Warmuth:
Learning Binary Relations Using Weighted Majority Voting.
Machine Learning 20(3): 245-271 (1995) |
| 1994 |
|---|
| 18 | EE | Paul W. Goldberg,
Sally A. Goldman,
H. David Mathias:
Learning Unions of Boxes with Membership and Equivalence Queries.
COLT 1994: 198-207 |
| 17 | EE | Paul W. Goldberg,
Sally A. Goldman:
Learning One-Dimensional Geometric Patterns Under One-Sided Random Misclassification Noise.
COLT 1994: 246-255 |
| 16 | EE | Michael Frazier,
Sally A. Goldman,
Nina Mishra,
Leonard Pitt:
Learning from a Consistently Ignorant Teacher.
COLT 1994: 328-339 |
| 15 | | Sally A. Goldman,
Robert H. Sloan:
The Power of Self-Directed Learning.
Machine Learning 14(1): 271-294 (1994) |
| 1993 |
|---|
| 14 | EE | Nader H. Bshouty,
Sally A. Goldman,
Thomas R. Hancock,
Sleiman Matar:
Asking Questions to Minimize Errors.
COLT 1993: 41-50 |
| 13 | EE | Sally A. Goldman,
Manfred K. Warmuth:
Learning Binary Relations Using Weighted Majority Voting.
COLT 1993: 453-462 |
| 12 | EE | Sally A. Goldman,
H. David Mathias:
Teaching a Smart Learner.
COLT 1993: 67-76 |
| 11 | | Sally A. Goldman,
Michael J. Kearns,
Robert E. Schapire:
Exact Identification of Read-Once Formulas Using Fixed Points of Amplification Functions.
SIAM J. Comput. 22(4): 705-726 (1993) |
| 10 | | Sally A. Goldman,
Ronald L. Rivest,
Robert E. Schapire:
Learning Binary Relations and Total Orders.
SIAM J. Comput. 22(5): 1006-1034 (1993) |
| 1992 |
|---|
| 9 | EE | Sally A. Goldman,
H. David Mathias:
Learning k-Term DNF Formulas with an Incomplete Membership Oracle.
COLT 1992: 77-84 |
| 1991 |
|---|
| 8 | EE | Sally A. Goldman,
Michael J. Kearns:
On the Complexity of Teaching.
COLT 1991: 303-314 |
| 1990 |
|---|
| 7 | EE | Sally A. Goldman,
Michael J. Kearns,
Robert E. Schapire:
On the Sample Complexity of Weak Learning.
COLT 1990: 217-231 |
| 6 | EE | Sally A. Goldman,
Michael J. Kearns,
Robert E. Schapire:
Exact Identification of Circuits Using Fixed Points of Amplification Functions (Abstract).
COLT 1990: 388 |
| 5 | | Sally A. Goldman,
Michael J. Kearns,
Robert E. Schapire:
Exact Identification of Circuits Using Fixed Points of Amplification Functions (Extended Abstract)
FOCS 1990: 193-202 |
| 1989 |
|---|
| 4 | | Sally A. Goldman,
Ronald L. Rivest,
Robert E. Schapire:
Learning Binary Relations and Total Orders (Extended Abstract)
FOCS 1989: 46-51 |
| 3 | | Sally A. Goldman:
A Space Efficient Greedy Triangulation Algorithm.
Inf. Process. Lett. 31(4): 191-196 (1989) |
| 1986 |
|---|
| 2 | EE | Sally A. Goldman,
Ronald L. Rivest:
A non-iterative maximum entropy algorithm.
UAI 1986: 133-148 |
| 1985 |
|---|
| 1 | EE | Kenneth J. Goldman,
Sally A. Goldman,
Paris C. Kanellakis,
Stanley B. Zdonik:
ISIS: Interface for a Semantic Information System.
SIGMOD Conference 1985: 328-342 |
