2009 | ||
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68 | Sharath R. Cholleti, Sally A. Goldman, Avrim Blum, David G. Politte, Steven Don, Kirk Smith, Fred Prior: Veritas: Combining Expert Opinions without Labeled Data. International Journal on Artificial Intelligence Tools 18(5): 633-651 (2009) | |
2008 | ||
67 | 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 | |
66 | 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) | |
65 | Rouhollah Rahmani, Sally A. Goldman, Hui Zhang, Sharath R. Cholleti, Jason E. Fritts: Localized Content-Based Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 30(11): 1902-1912 (2008) | |
2006 | ||
64 | 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 | 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 | Hui Zhang, Sally A. Goldman: Image Segmentation using Salient Points-Based Object Templates. ICIP 2006: 765-768 | |
61 | Rouhollah Rahmani, Sally A. Goldman: MISSL: multiple-instance semi-supervised learning. ICML 2006: 705-712 | |
60 | Sharath R. Cholleti, Sally A. Goldman, Rouhollah Rahmani: MI-Winnow: A New Multiple-Instance Learning Algorithm. ICTAI 2006: 336-346 | |
59 | 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 | Rouhollah Rahmani, Sally A. Goldman, Hui Zhang, John Krettek, Jason E. Fritts: Localized content based image retrieval. Multimedia Information Retrieval 2005: 227-236 | |
57 | Sally A. Goldman: Special Issue: Learning Theory 2003. J. Comput. Syst. Sci. 71(3): 249 (2005) | |
2004 | ||
56 | 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 | 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 | Sally A. Goldman: Special Issue on COLT 2000 - Guest Editor's Foreword. J. Comput. Syst. Sci. 64(1): 1 (2002) | |
51 | 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 | 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 | Qi Zhang, Sally A. Goldman: EM-DD: An Improved Multiple-Instance Learning Technique. NIPS 2001: 1073-1080 | |
46 | 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 | 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 | 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 | 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 | Sally A. Goldman, Stephen Kwek, Stephen D. Scott: Learning from Examples with Unspecified Attribute Values (Extended Abstract). COLT 1997: 231-242 | |
33 | 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 | 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 | Nader H. Bshouty, Sally A. Goldman, H. David Mathias: Noise-Tolerant Parallel Learning of Geometric Concepts. COLT 1995: 345-352 | |
24 | 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 | Paul W. Goldberg, Sally A. Goldman, H. David Mathias: Learning Unions of Boxes with Membership and Equivalence Queries. COLT 1994: 198-207 | |
17 | Paul W. Goldberg, Sally A. Goldman: Learning One-Dimensional Geometric Patterns Under One-Sided Random Misclassification Noise. COLT 1994: 246-255 | |
16 | 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 | Nader H. Bshouty, Sally A. Goldman, Thomas R. Hancock, Sleiman Matar: Asking Questions to Minimize Errors. COLT 1993: 41-50 | |
13 | Sally A. Goldman, Manfred K. Warmuth: Learning Binary Relations Using Weighted Majority Voting. COLT 1993: 453-462 | |
12 | 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 | Sally A. Goldman, H. David Mathias: Learning k-Term DNF Formulas with an Incomplete Membership Oracle. COLT 1992: 77-84 | |
1991 | ||
8 | Sally A. Goldman, Michael J. Kearns: On the Complexity of Teaching. COLT 1991: 303-314 | |
1990 | ||
7 | Sally A. Goldman, Michael J. Kearns, Robert E. Schapire: On the Sample Complexity of Weak Learning. COLT 1990: 217-231 | |
6 | 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 | Sally A. Goldman, Ronald L. Rivest: A non-iterative maximum entropy algorithm. UAI 1986: 133-148 | |
1985 | ||
1 | Kenneth J. Goldman, Sally A. Goldman, Paris C. Kanellakis, Stanley B. Zdonik: ISIS: Interface for a Semantic Information System. SIGMOD Conference 1985: 328-342 |