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Papers

184,605 papers found · 36,276 more without abstracts hidden Show all
Universal Kernels on Non-Standard Input Spaces
Andreas Christmann, Ingo Steinwart
2010 NIPS
2010 AISTATS
Unsupervised Kernel Dimension Reduction
Meihong Wang, Fei Sha, Michael I. Jordan
2010 NIPS
2010 JMLR
Using body-anchored priors for identifying actions in single images
Leonid Karlinsky, Michael Dinerstein, Shimon Ullman
2010 NIPS
2010 JMLR
Variable Impedance Control - A Reinforcement Learning Approach
J. Buchli, E. Theodorou, F. Stulp and S. Schaal
2010 RSS
Variable margin losses for classifier design
Hamed Masnadi-shirazi, Nuno Vasconcelos
2010 NIPS
Variational bounds for mixed-data factor analysis
Mohammad Emtiyaz Khan, Guillaume Bouchard, Kevin P. Murphy et al.
2010 NIPS
Variational Inference over Combinatorial Spaces
Alexandre Bouchard-côté, Michael I. Jordan
2010 NIPS
Variational methods for Reinforcement Learning
Thomas Furmston, David Barber
2010 AISTATS
Variational Relevance Vector Machine for Tabular Data
Dmitry Kropotov, Dmitry Vetrov, Lior Wolf et al.
2010 ACML
WEKA−Experiences with a Java Open-Source Project
Remco R. Bouckaert, Eibe Frank, Mark A. Hall et al.
2010 JMLR
Why are DBNs sparse?
Shaunak Chatterjee, Stuart Russell
2010 AISTATS
Why Does Unsupervised Pre-training Help Deep Learning?
Dumitru Erhan, Yoshua Bengio, Aaron Courville et al.
2010 JMLR
Why Does Unsupervised Pre-training Help Deep Learning?
Dumitru Erhan, Aaron Courville, Yoshua Bengio et al.
2010 AISTATS
Word Features for Latent Dirichlet Allocation
James Petterson, Wray Buntine, Shravan M. Narayanamurthy et al.
2010 NIPS
Worst-case bounds on the quality of max-product fixed-points
Meritxell Vinyals, Jes\'us Cerquides, Alessandro Farinelli et al.
2010 NIPS
Worst-Case Linear Discriminant Analysis
Yu Zhang, Dit-Yan Yeung
2010 NIPS
3D Object Recognition with Deep Belief Nets
Vinod Nair, Geoffrey E. Hinton
2009 NIPS