Dennis DeCoste
Citado por
Citado por
Scaling learning algorithms toward AI
Y Bengio, Y LeCun
Training invariant support vector machines
D DeCoste, B Schölkopf
Machine learning 46, 161-190, 2002
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
Machine learning for science: state of the art and future prospects
E Mjolsness, D DeCoste
science 293 (5537), 2051-2055, 2001
A modified finite Newton method for fast solution of large scale linear SVMs.
SS Keerthi, D DeCoste, T Joachims
Journal of Machine Learning Research 6 (3), 2005
Building support vector machines with reduced classifier complexity.
SS Keerthi, O Chapelle, D DeCoste, KP Bennett, E Parrado-Hernández
Journal of Machine Learning Research 7 (7), 2006
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
Large-scale kernel machines
L Bottou
MIT press, 2007
Dynamic across-time measurement interpretation
D DeCoste
Artificial Intelligence 51 (1-3), 273-341, 1991
Collaborative prediction using ensembles of maximum margin matrix factorizations
D DeCoste
Proceedings of the 23rd international conference on Machine learning, 249-256, 2006
Alpha seeding for support vector machines
D DeCoste, K Wagstaff
Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000
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
Visualizing data mining models
K Thearling, B Becker, D DeCoste, WD Mawby, M Pilote, D Sommerfield
Information visualization in data mining and knowledge discovery, 205-222, 2001
Compact random feature maps
R Hamid, Y Xiao, A Gittens, D DeCoste
International conference on machine learning, 19-27, 2014
Data parameters: A new family of parameters for learning a differentiable curriculum
S Saxena, O Tuzel, D DeCoste
Advances in Neural Information Processing Systems 32, 2019
Large-scale kernel machines
Y Bengio, Y LeCun
Scaling Learning Algorithms towards AI. MIT Press, Cambridge, 2007
HD-CNN: Hierarchical deep convolutional neural network for image classification
Z Yan, V Jagadeesh, D DeCoste, W Di, R Piramuthu
International Conference on Computer Vision (ICCV) 2, 435-443, 2015
Percentage based online advertising
GW Flake, BD Brewer, DM DeCoste
US Patent App. 11/734,134, 2008
Ensembles of nearest neighbor forecasts
D Yankov, D DeCoste, E Keogh
European conference on machine learning, 545-556, 2006
Rover traverse science for increased mission science return
R Castafio, RC Anderson, T Estlin, D Decoste, F Fisher, D Gaines, ...
2003 IEEE Aerospace Conference Proceedings (Cat. No. 03TH8652) 8, 8_3629-8_3636, 2003
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