Kiri Wagstaff

Kiri L. Wagstaff

	2011
29		David Thompson, Walid Majid, Kiri Wagstaff, Colorado Reed: Semi-Supervised Novelty Detection with Adaptive Eigenbases, and Application to Radio Transients. CIDU 2011: 118-128
28		Marie desJardins, Mehran Sahami, Kiri Wagstaff: EAAI-10: The First Symposium on Educational Advances in Artificial Intelligence. AI Magazine 32(1): 91-92 (2011)
27		Amy McGovern, Kiri L. Wagstaff: Machine learning in space: extending our reach. Machine Learning 84(3): 335-340 (2011)
	2010
26		Marie desJardins, James MacGlashan, Kiri L. Wagstaff: Confidence-Based Feature Acquisition to Minimize Training and Test Costs. SDM 2010: 514-524
25		Kiri L. Wagstaff: Constrained Clustering. Encyclopedia of Machine Learning 2010: 220-221
24		Kiri L. Wagstaff, Michael Kocurek, Dominic Mazzoni, Benyang Tang: Progressive refinement for support vector machines. Data Min. Knowl. Discov. 20(1): 53-69 (2010)
23		Kiri L. Wagstaff, Marie desJardins, Eric Eaton: Modelling and learning user preferences over sets. J. Exp. Theor. Artif. Intell. 22(3): 237-268 (2010)
	2009
22		Kiri L. Wagstaff, Benjamin Bornstein: K-means in space: a radiation sensitivity evaluation. ICML 2009: 138
21		Razvan C. Bunescu, Vitor R. Carvalho, Jan Chomicki, Vincent Conitzer, Michael T. Cox, Virginia Dignum, Zachary Dodds, Mark Dredze, David Furcy, Evgeniy Gabrilovich, Mehmet H. Göker, Hans W. Guesgen, Haym Hirsh, Dietmar Jannach, Ulrich Junker, Wolfgang Ketter, Alfred Kobsa, Sven Koenig, Tessa A. Lau, Lundy Lewis, Eric T. Matson, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Joelle Pineau, Pascal Poupart, Anita Raja, Wheeler Ruml, Norman M. Sadeh, Guy Shani, Daniel G. Shapiro, Sarabjot Singh Anand, Matthew E. Taylor, Kiri Wagstaff, Trey Smith, William E. Walsh, Ron Zhou: AAAI 2008 Workshop Reports. AI Magazine 30(1): 108-118 (2009)
	2008
20		Kiri L. Wagstaff, Terran Lane, Alex Roper: Multiple-Instance Regression with Structured Data. ICDM Workshops 2008: 291-300
	2007
19		Rebecca Castaño, Kiri Wagstaff, Steve A. Chien, Timothy M. Stough, Benyang Tang: On-board analysis of uncalibrated data for a spacecraft at mars. KDD 2007: 922-930
18		Kiri L. Wagstaff, Terran Lane: Report on the SIGART Doctoral Consortium. AI Magazine 28(1): 84-85 (2007)
	2006
17		Kiri Wagstaff, Sugato Basu, Ian Davidson: When Is Constrained Clustering Beneficial, and Why?. AAAI 2006
16		Dominic Mazzoni, Kiri Wagstaff, Michael C. Burl: Active Learning with Irrelevant Examples. ECML 2006: 695-702
15		Marie desJardins, Eric Eaton, Kiri Wagstaff: Learning user preferences for sets of objects. ICML 2006: 273-280
14		Kiri Wagstaff: Value, Cost, and Sharing: Open Issues in Constrained Clustering. KDID 2006: 1-10
13		Ian Davidson, Kiri Wagstaff, Sugato Basu: Measuring Constraint-Set Utility for Partitional Clustering Algorithms. PKDD 2006: 115-126
12		Kiri Wagstaff: The 2005 SIGART/AAAI Doctoral Consortium. AI Magazine 27(1): 96 (2006)
	2005
11		Marie desJardins, Kiri Wagstaff: DD-PREF: A Language for Expressing Preferences over Sets. AAAI 2005: 620-626
10		Marie desJardins, Eric Eaton, Kiri Wagstaff: A Context-Sensitive and User-Centric Approach to Developing Personal Assistants. AAAI Spring Symposium: Persistent Assistants: Living and Working with AI 2005: 98-100
9		Qianjun Xu, Marie desJardins, Kiri Wagstaff: Active Constrained Clustering by Examining Spectral Eigenvectors. Discovery Science 2005: 294-307
8		Qianjun Xu, Marie desJardins, Kiri Wagstaff: Constrained Spectral Clustering under a Local Proximity Structure Assumption. FLAIRS Conference 2005: 866-867
	2004
7		Stefan Schrödl, Kiri Wagstaff, Seth Rogers, Pat Langley, Christopher Wilson: Mining GPS Traces for Map Refinement. Data Min. Knowl. Discov. 9(1): 59-87 (2004)
	2001
6		Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan Schrödl: Constrained K-means Clustering with Background Knowledge. ICML 2001: 577-584
5		Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoon P. Yoo: Generalized clustering, supervised learning, and data assignment. KDD 2001: 299-304
	2000
4		Kiri Wagstaff, Claire Cardie: Clustering with Instance-Level Constraints. AAAI/IAAI 2000: 1097
3		Kiri Wagstaff: Refining Inductive Bias in Unsupervised Learning via Constraints. AAAI/IAAI 2000: 1112
2		Kiri Wagstaff, Claire Cardie: Clustering with Instance-level Constraints. ICML 2000: 1103-1110
1		Dennis DeCoste, Kiri Wagstaff: Alpha seeding for support vector machines. KDD 2000: 345-349

Coauthor Index

1	Sarabjot S. Anand (Sarabjot Singh Anand, Sarab S. Anand)	[21]
2	Sugato Basu	[13] [17]
3	Benjamin Bornstein	[22]
4	Razvan C. Bunescu	[21]
5	Michael C. Burl	[16]
6	Claire Cardie	[2] [4] [6]
7	Vitor R. Carvalho (Vitor Rocha de Carvalho)	[21]
8	Rebecca Castaño	[19]
9	Steve A. Chien	[19]
10	Jan Chomicki	[21]
11	Vincent Conitzer	[21]
12	Michael T. Cox	[21]
13	Ian Davidson	[13] [17]
14	Dennis DeCoste	[1]
15	Virginia Dignum	[21]
16	Zachary Dodds	[21]
17	Mark Dredze	[21]
18	Eric Eaton	[10] [15] [23]
19	David Furcy	[21]
20	Evgeniy Gabrilovich	[21]
21	Mehmet H. Göker	[21]
22	Hans W. Guesgen (Hans Werner Guesgen)	[21]
23	Haym Hirsh	[21]
24	Dietmar Jannach	[21]
25	Ulrich Junker	[21]
26	Annaka Kalton	[5]
27	Wolfgang Ketter	[21]
28	Alfred Kobsa	[21]
29	Michael Kocurek	[24]
30	Sven Koenig	[21]
31	Terran Lane	[18] [20]
32	Pat Langley	[5] [7]
33	Tessa A. Lau (Tessa Lau)	[21]
34	Lundy Lewis	[21]
35	James MacGlashan	[26]
36	Walid Majid	[29]
37	Eric T. Matson	[21]
38	Dominic Mazzoni	[16] [24]
39	Amy McGovern	[27]
40	Ted Metzler	[21]
41	Rada Mihalcea	[21]
42	Bamshad Mobasher	[21]
43	Joelle Pineau	[21]
44	Pascal Poupart	[21]
45	Anita Raja	[21]
46	Colorado Reed	[29]
47	Seth Rogers	[6] [7]
48	Alex Roper	[20]
49	Wheeler Ruml	[21]
50	Norman M. Sadeh	[21]
51	Mehran Sahami	[28]
52	Stefan Schrödl	[6] [7]
53	Guy Shani	[21]
54	Daniel G. Shapiro	[21]
55	Trey Smith	[21]
56	Timothy M. Stough	[19]
57	Benyang Tang	[19] [24]
58	Matthew E. Taylor (Matthew Edmund Taylor)	[21]
59	David Thompson	[29]
60	William E. Walsh	[21]
61	Christopher Wilson	[7]
62	Qianjun Xu	[8] [9]
63	Jungsoon P. Yoo	[5]
64	Ron Zhou	[21]
65	Marie desJardins	[8] [9] [10] [11] [15] [23] [26] [28]

Colors in the list of coauthors

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