2006 |
18 | EE | Dragomir Yankov,
Dennis DeCoste,
Eamonn J. Keogh:
Ensembles of Nearest Neighbor Forecasts.
ECML 2006: 545-556 |
17 | EE | Dennis DeCoste:
Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations.
ICML 2006: 249-256 |
16 | EE | Seung-Taek Park,
David Pennock,
Omid Madani,
Nathan Good,
Dennis DeCoste:
Naïve filterbots for robust cold-start recommendations.
KDD 2006: 699-705 |
15 | EE | Michael C. Burl,
Dennis DeCoste,
Brian L. Enke,
Dominic Mazzoni,
William J. Merline,
Lucas Scharenbroich:
Automated Knowledge Discovery from Simulators.
SDM 2006 |
14 | EE | 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 |
13 | EE | 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) |
2003 |
12 | | Dennis DeCoste,
Dominic Mazzoni:
Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors.
ICML 2003: 115-122 |
11 | EE | Thomas Strohmann,
Andrei Belitski,
Gregory Z. Grudic,
Dennis DeCoste:
Sparse Greedy Minimax Probability Machine Classification.
NIPS 2003 |
10 | EE | 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 | EE | 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 |