2007 |
14 | EE | 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 | EE | David R. Musicant,
Janara M. Christensen,
Jamie F. Olson:
Supervised Learning by Training on Aggregate Outputs.
ICDM 2007: 252-261 |
12 | EE | 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 | EE | 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 | EE | Bee-Chung Chen,
Lei Chen,
Raghu Ramakrishnan,
David R. Musicant:
Learning from Aggregate Views.
ICDE 2006: 3 |
9 | EE | 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 | EE | David R. Musicant:
A data mining course for computer science: primary sources and implementations.
SIGCSE 2006: 538-542 |
2004 |
7 | EE | 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 | EE | 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 | EE | 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 | EE | Olvi L. Mangasarian,
David R. Musicant:
Successive overrelaxation for support vector machines.
IEEE Transactions on Neural Networks 10(5): 1032-1037 (1999) |