Dennis DeCoste

	2006
19		Dragomir Yankov, Dennis DeCoste, Eamonn J. Keogh: Ensembles of Nearest Neighbor Forecasts. ECML 2006: 545-556
18		Dennis DeCoste: Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations. ICML 2006: 249-256
17		Seung-Taek Park, David Pennock, Omid Madani, Nathan Good, Dennis DeCoste: Naïve filterbots for robust cold-start recommendations. KDD 2006: 699-705
16		Michael C. Burl, Dennis DeCoste, Brian L. Enke, Dominic Mazzoni, William J. Merline, Lucas Scharenbroich: Automated Knowledge Discovery from Simulators. SDM 2006
15		S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste: Building Support Vector Machines with Reduced Classifier Complexity. Journal of Machine Learning Research 7: 1493-1515 (2006)
	2005
14		S. Sathiya Keerthi, Dennis DeCoste: A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs. Journal of Machine Learning Research 6: 341-361 (2005)
	2004
13		Martin M. S. Lee, S. Sathiya Keerthi, Chong Jin Ong, Dennis DeCoste: An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels. IEEE Transactions on Neural Networks 15(3): 750-757 (2004)
	2003
12		Dennis DeCoste, Dominic Mazzoni: Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors. ICML 2003: 115-122
11		Thomas Strohmann, Andrei Belitski, Gregory Z. Grudic, Dennis DeCoste: Sparse Greedy Minimax Probability Machine Classification. NIPS 2003
10		Dennis DeCoste: Anytime Query-Tuned Kernel Machines via Cholesky Factorization. SDM 2003
	2002
9		Dennis DeCoste: Anytime Interval-Valued Outputs for Kernel Machines: Fast Support Vector Machine Classification via Distance Geometry. ICML 2002: 99-106
8		Dennis DeCoste, Bernhard Schölkopf: Training Invariant Support Vector Machines. Machine Learning 46(1-3): 161-190 (2002)
	2000
7		Dennis DeCoste, Kiri Wagstaff: Alpha seeding for support vector machines. KDD 2000: 345-349
	1997
6		Dennis DeCoste: The Future of Chess-Playing Technologies and the Significance of Kasparov Versus deep Blue. Deep Blue Versus Kasparov: The Significance for Artificial Intelligence 1997: 9-13
5		Dennis DeCoste: Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes. KDD 1997: 151-154
4		Steve A. Chien, Dennis DeCoste, Richard J. Doyle, Paul E. Stolorz: Making an Impact: Artificial Intelligence at the Jet Propulsion Laboratory. AI Magazine 18(1): 103-122 (1997)
	1991
3		John W. Collins, Dennis DeCoste: CATMS: An ATMS Which Avoids Label Explosions. AAAI 1991: 281-287
2		Dennis DeCoste: Dynamic Across-Time Measurement Interpretation. Artif. Intell. 51(1-3): 273-341 (1991)
	1990
1		Dennis DeCoste: Dynamic Acioss-Time Measurement Interpretation. AAAI 1990: 373-379

Coauthor Index

1	Andrei Belitski	[11]
2	Michael C. Burl	[16]
3	Olivier Chapelle	[15]
4	Steve A. Chien	[4]
5	John W. Collins	[3]
6	Richard J. Doyle	[4]
7	Brian L. Enke	[16]
8	Nathaniel Good (Nathan Good)	[17]
9	Gregory Z. Grudic	[11]
10	S. Sathiya Keerthi (Sathiya Keerthi Selvaraj)	[13] [14] [15]
11	Eamonn J. Keogh	[19]
12	Martin M. S. Lee	[13]
13	Omid Madani	[17]
14	Dominic Mazzoni	[12] [16]
15	William J. Merline	[16]
16	Chong Jin Ong	[13]
17	Seung-Taek Park	[17]
18	David M. Pennock (David Pennock)	[17]
19	Lucas Scharenbroich	[16]
20	Bernhard Schölkopf	[8]
21	Paul E. Stolorz	[4]
22	Thomas Strohmann	[11]
23	Kiri Wagstaff (Kiri L. Wagstaff)	[7]
24	Dragomir Yankov	[19]

Colors in the list of coauthors

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