David R. Musicant

	2009
15		David Barbella, Sami Benzaid, Janara Christensen, Bret Jackson, X. Victor Qin, David R. Musicant: Understanding Support Vector Machine Classifications via a Recommender System-Like Approach. DMIN 2009: 305-311
	2007
14		Amy Csizmar Dalal, David R. Musicant, Jamie F. Olson, Brandy McMenamy, Sami Benzaid, Ben Kazez, Erica Bolan: Predicting User-Perceived Quality Ratings from Streaming Media Data. ICC 2007: 65-72
13		David R. Musicant, Janara M. Christensen, Jamie F. Olson: Supervised Learning by Training on Aggregate Outputs. ICDM 2007: 252-261
12		Jonas Boustedt, Robert McCartney, Josh D. Tenenberg, Titus Winters, Stephen Edwards, Briana B. Morrison, David R. Musicant, Ian Utting, Carol Zander: It seemed like a good idea at the time. SIGCSE 2007: 346-347
11		David R. Musicant, Amruth Kumar, Doug Baldwin, Ellen Walker: Mechanics of undergraduate research at liberal arts colleges: lessons learned. SIGCSE 2007: 65-66
	2006
10		Bee-Chung Chen, Lei Chen, Raghu Ramakrishnan, David R. Musicant: Learning from Aggregate Views. ICDE 2006: 3
9		Benjamin J. Anderson, Deborah S. Gross, David R. Musicant, Anna M. Ritz, Thomas G. Smith, Leah E. Steinberg: Adapting K-Medians to Generate Normalized Cluster Centers. SDM 2006
8		David R. Musicant: A data mining course for computer science: primary sources and implementations. SIGCSE 2006: 538-542
	2004
7		Zheng Huang, Lei Chen, Jin-yi Cai, Deborah S. Gross, David R. Musicant, Raghu Ramakrishnan, James J. Schauer, Stephen J. Wright: Mass Spectrum Labeling: Theory and Practice. ICDM 2004: 122-129
	2003
6		David R. Musicant, Vipin Kumar, Aysel Ozgur: Optimizing F-Measure with Support Vector Machines. FLAIRS Conference 2003: 356-360
	2002
5		Olvi L. Mangasarian, David R. Musicant: Large Scale Kernel Regression via Linear Programming. Machine Learning 46(1-3): 255-269 (2002)
	2001
4		Olvi L. Mangasarian, David R. Musicant: Lagrangian Support Vector Machines. Journal of Machine Learning Research 1: 161-177 (2001)
	2000
3		Olvi L. Mangasarian, David R. Musicant: Active Support Vector Machine Classification. NIPS 2000: 577-583
2		Olvi L. Mangasarian, David R. Musicant: Robust Linear and Support Vector Regression. IEEE Trans. Pattern Anal. Mach. Intell. 22(9): 950-955 (2000)
	1999
1		Olvi L. Mangasarian, David R. Musicant: Successive overrelaxation for support vector machines. IEEE Transactions on Neural Networks 10(5): 1032-1037 (1999)

Coauthor Index

1	Benjamin J. Anderson	[9]
2	Doug Baldwin	[11]
3	David Barbella	[15]
4	Sami Benzaid	[14] [15]
5	Erica Bolan	[14]
6	Jonas Boustedt	[12]
7	Jin-yi Cai	[7]
8	Bee-Chung Chen	[10]
9	Lei Chen	[7] [10]
10	Janara Christensen	[15]
11	Janara M. Christensen	[13]
12	Amy Csizmar Dalal	[14]
13	Stephen Edwards	[12]
14	Deborah S. Gross	[7] [9]
15	Zheng Huang	[7]
16	Bret Jackson	[15]
17	Ben Kazez	[14]
18	Amruth Kumar	[11]
19	Vipin Kumar	[6]
20	Olvi L. Mangasarian (O. L. Mangasarian)	[1] [2] [3] [4] [5]
21	Robert McCartney	[12]
22	Brandy McMenamy	[14]
23	Briana B. Morrison	[12]
24	Jamie F. Olson	[13] [14]
25	Aysel Ozgur	[6]
26	X. Victor Qin	[15]
27	Raghu Ramakrishnan	[7] [10]
28	Anna M. Ritz	[9]
29	James J. Schauer	[7]
30	Thomas G. Smith	[9]
31	Leah E. Steinberg	[9]
32	Josh D. Tenenberg	[12]
33	Ian Utting	[12]
34	Ellen Lowenfeld Walker (Ellen Walker)	[11]
35	Titus Winters	[12]
36	Stephen J. Wright	[7]
37	Carol Zander	[12]

Colors in the list of coauthors