Papers
173,579 papers found
Support Vector Machines Under Adversarial Label Noise
Battista Biggio, Blaine Nelson, Pavel Laskov
Switch-Reset Models : Exact and Approximate Inference
Chris Bracegirdle, David Barber
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification
Ichiro Takeuchi, Masashi Sugiyama
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning
George Konidaris, Scott Niekum, Philip S. Thomas
t-divergence Based Approximate Inference
Nan Ding, Yuan Qi, S.v.n. Vishwanathan
TERMES: An Autonomous Robotic System for Three-Dimensional Collective Construction
Kirstin Petersen, Radhika Nagpal, Justin Werfel
Testing a Bayesian Measure of Representativeness Using a Large Image Database
Joshua T. Abbott, Katherine A. Heller, Zoubin Ghahramani et al.
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets
Michael Hahsler, Sudheer Chelluboina, Kurt Hornik et al.
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling
John Paisley, Chong Wang, David Blei
The Doubly Correlated Nonparametric Topic Model
Dae I. Kim, Erik B. Sudderth
The Fast Convergence of Boosting
Matus J. Telgarsky
The Fixed Points of Off-Policy TD
J. Z. Kolter
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers
Luca Oneto, Davide Anguita, Alessandro Ghio et al.
The Indian Buffet Process: An Introduction and Review
Thomas L. Griffiths, Zoubin Ghahramani
The Kernel Beta Process
Lu Ren, Yingjian Wang, Lawrence Carin et al.
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond
Aurélien Garivier, Olivier Cappé
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning
Marius Kloft, Gilles Blanchard
The Manifold Tangent Classifier
Salah Rifai, Yann N. Dauphin, Pascal Vincent et al.
The Motion Grammar: Linguistic Perception, Planning, and Control
Neil Dantam, Mike Stilman
The Neural Autoregressive Distribution Estimator
Hugo Larochelle, Iain Murray
Theoretical Analysis of Bayesian Matrix Factorization
Shinichi Nakajima, Masashi Sugiyama
The Rate of Convergence of Adaboost
Indraneel Mukherjee, Cynthia Rudin, Robert E. Schapire
The Sample Complexity of Dictionary Learning
Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein
The Sample Complexity of Dictionary Learning
Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein
The Sample Complexity of Self-Verifying Bayesian Active Learning
Liu Yang, Steve Hanneke, Jaime Carbonell