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Discord Stateoftheart AI
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Publications

83

Cited by

5476

Dennis DeCoste

deep learningkernel machines / svmslarge-scale machine learningoptimization / parallelizationartificial intelligence
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United States

Papers and Citations

1 - 50
Training invariant support vector machines
2002
Dennis DeCoste
Bernhard Schölkopf
Cited by 730
Building support vector machines with reduced classifier complexity
2006
Olivier Chapelle
Dennis DeCoste
SS Keerthi
Cited by 354
A modified finite Newton method for fast solution of large scale linear SVMs
2005
Dennis DeCoste
SS Keerthi
Cited by 335
HD-CNN: hierarchical deep convolutional neural networks for large scale visual recognition
2015
Dennis DeCoste
Hao Zhang
Vignesh Jagadeesh
+4
Cited by 331
Machine learning for science: state of the art and future prospects
2001
Dennis DeCoste
Eric Mjolsness
Cited by 294
Naïve filterbots for robust cold-start recommendations
2006
David M Pennock
Seung-Taek Park
Omid Madani
+4
Cited by 244
Method and apparatus for categorizing and presenting documents of a distributed database
2012
P Savich
Dennis DeCoste
Gary William Flake
Cited by 164
Dynamic across-time measurement interpretation
1991
Dennis DeCoste
Cited by 152
Collaborative prediction using ensembles of maximum margin matrix factorizations
2006
Dennis DeCoste
Cited by 121
Alpha seeding for support vector machines
2000
Dennis DeCoste
Kiri Wagstaff
Cited by 98
An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels
2004
Dennis DeCoste
Chong Jin Ong
SS Keerthi
+1
Cited by 93
Visualizing data mining models
2001
D Sommerfield
M Pilote
B Mawby
+3
Cited by 88
Compact random feature maps
2014
Ying Xiao
Dennis DeCoste
Raffay Hamid
+2
Cited by 75
Ensembles of nearest neighbor forecasts
2006
Dragomir Yankov
Eamonn Keogh
Dennis DeCoste
Cited by 46
Rover traverse science for increased mission science return
2003
Robert C Anderson
Tara Estlin
Daniel Gaines
+5
Cited by 42
Visualizing Mercer kernel feature spaces via kernelized locally-linear embeddings
2001
Dennis DeCoste
Cited by 40
Automated learning and monitoring of limit functions
1997
Dennis DeCoste
Cited by 39
Percentage based online advertising
2008
BD Brewer
Dennis DeCoste
Gary William Flake
Cited by 38
Making an impact: Artificial intelligence at the jet propulsion laboratory
1997
P Stolorz
R Doyle
steve chien
+1
Cited by 33
Anytime interval-valued outputs for kernel machines: Fast support vector machine classification via distance geometry
2002
Dennis DeCoste
Cited by 33
Contextual recommender problems
2005
O Madani
Dennis DeCoste
Cited by 32
Method and apparatus for efficient training of support vector machines
2008
SK Selvaraj
Dennis DeCoste
Cited by 32
Distortion-invariant recognition via jittered queries
2000
Michael C. Burl
Dennis DeCoste
Cited by 32
Fast query-optimized kernel machine classification via incremental approximate nearest support vectors
2003
Dominic Mazzoni
Dennis DeCoste
Cited by 29
Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes.
1997
Dennis DeCoste
Cited by 28
Sponsored listing recommendation engine
2013
M Spiegelman
IC Rogers
Dennis DeCoste
+1
Cited by 25
Sparse greedy minimax probability machine classification
2004
TR Strohmann
A Belitski
Greg Grudic
+1
Cited by 24
An Integrated Architecture for Cooperation Rovers
1999
R Petras
A Jain
D Mutz
+13
Cited by 21
Data parameters: A new family of parameters for learning a differentiable curriculum
2019
Oncel Tuzel
Dennis DeCoste
shreyas saxena
Cited by 20
The Future of Chess-Playing Technologies and the Significance of Kasparov Versus deep Blue.
1997
Dennis DeCoste
Cited by 15
Anytime query-tuned kernel machines via cholesky factorization
2003
Dennis DeCoste
Cited by 13
Support vector machines and kernel fisher discriminants: A case study using electronic nose data
2001
Dennis DeCoste
Michael C. Burl
Cited by 13
Dense non-rigid point-matching using random projections
2013
CJ Lin
Dennis DeCoste
Raffay Hamid
Cited by 11
Learning envelopes for fault detection and state summarization
2000
Dennis DeCoste
Cited by 9
CATMS: An ATMS which avoids label explosions
1991
JW Collins
Dennis DeCoste
Cited by 8
The significance of Kasparov versus Deep Blue and the future of computer chess
1998
Dennis DeCoste
Cited by 8
Goal-directed qualitative reasoning with partial states
1994
Dennis DeCoste
Cited by 8
IQE: An incremental qualitative envisioner
1991
J Collins
Dennis DeCoste
Cited by 8
Beacon monitor operations experiment DS1 technology validation report
2000
Robert L Sherwood
John Szijjarto
Miles K Sue
+6
Cited by 7
Hot swapping for online adaptation of optimization hyperparameters
2014
K Bache
Dennis DeCoste
Padhraic Smyth
Cited by 5
Techniques for onboard prioritization of science data for transmission
2003
D Gaines
RC Anderson
R Castano
+5
Cited by 4
Adaptive Resource Profiling
1999
Dennis DeCoste
Cited by 3
Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well
2020
SA Serrano
Vipul Gupta
Dennis DeCoste
Cited by 3
Toward a Qualitative Theory of Safety Control: When and how to Panic Intelligently
1991
Dennis DeCoste
Cited by 2
Fast approximate matching of videos from hand-held cameras for robust background subtraction
2015
N Sundaresan
Atish Das Sarma
Dennis DeCoste
+1
Cited by 2
Recommender systems research at yahoo! research labs
2005
Sathiya Keerthi
David Gleich
Tejaswi Kasturi
+8
Cited by 2
Fast approximate matching of cell-phone videos for robust background subtraction
2014
N Sundaresan
Atish Das Sarma
Raffay Hamid
+1
Cited by 1
Training With Data Dependent Dynamic Learning Rates
2021
shreyas saxena
Dennis DeCoste
Nidhi Vyas
Cited by
Prioritizing Scientific Data for Transmission
2004
Tara Estlin
Michele Judd
Forest Fisher
+5
Cited by
Monitoring and Diagnosis Technology Group Jet Propulsion Laboratory/California Institute of Technology 4800 Oak Grove Drive; Pasadena, CA 91109
Dennis DeCoste
Cited by