Dennis DeCoste
Título
Citado por
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Año
Scaling learning algorithms towards AI
Y Bengio, Y LeCun
Large-scale kernel machines 34 (5), 1-41, 2007
12292007
Training invariant support vector machines
D Decoste, B Schölkopf
Machine learning 46 (1-3), 161-190, 2002
7122002
Building support vector machines with reduced classifier complexity
SS Keerthi, O Chapelle, D DeCoste
Journal of Machine Learning Research 7 (Jul), 1493-1515, 2006
3452006
A modified finite Newton method for fast solution of large scale linear SVMs
SS Keerthi, D DeCoste
Journal of Machine Learning Research 6 (Mar), 341-361, 2005
3302005
HD-CNN: hierarchical deep convolutional neural networks for large scale visual recognition
Z Yan, H Zhang, R Piramuthu, V Jagadeesh, D DeCoste, W Di, Y Yu
Proceedings of the IEEE international conference on computer vision, 2740-2748, 2015
3022015
Machine learning for science: state of the art and future prospects
E Mjolsness, D DeCoste
science 293 (5537), 2051-2055, 2001
2822001
Naïve filterbots for robust cold-start recommendations
ST Park, D Pennock, O Madani, N Good, D DeCoste
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
2282006
Training invariant support vector machines using selective sampling
G Loosli, S Canu, L Bottou
Large scale kernel machines 2, 2007
1872007
Large-scale kernel machines
CJ Lin
MIT press, 2007
1872007
Dynamic across-time measurement interpretation
D DeCoste
Artificial Intelligence 51 (1-3), 273-341, 1991
1511991
Approximation methods for Gaussian process regression
J Quinonero-Candela, CE Rasmussen, CKI Williams
Large-scale kernel machines, 203-223, 2007
1372007
Collaborative prediction using ensembles of maximum margin matrix factorizations
D DeCoste
Proceedings of the 23rd international conference on Machine learning, 249-256, 2006
1212006
Alpha seeding for support vector machines
D DeCoste, K Wagstaff
Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000
942000
An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels
MMS Lee, SS Keerthi, CJ Ong, D DeCoste
IEEE Transactions on Neural Networks 15 (3), 750-757, 2004
912004
Visualizing data mining models
K Thearling, B Becker, D DeCoste, B Mawby, M Pilote, D Sommerfield
Information visualization in data mining and knowledge discovery 24, 205-222, 2001
882001
Compact random feature maps
R Hamid, Y Xiao, A Gittens, D DeCoste
International Conference on Machine Learning, 19-27, 2014
682014
Large scale learning with string kernels
S Sonnenburg, G Rätsch, K Rieck
Large Scale Kernel Machines, 73-103, 2007
652007
Ensembles of nearest neighbor forecasts
D Yankov, D DeCoste, E Keogh
European conference on machine learning, 545-556, 2006
442006
Rover traverse science for increased mission science return
R Castano, RC Anderson, T Estlin, D DeCoste, F Fisher, D Gaines, ...
Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2003
422003
Visualizing Mercer kernel feature spaces via kernelized locally-linear embeddings
D DeCoste
392001
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Artículos 1–20