Papers
21,849 papers found
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation
Yee W. Teh, David Newman, Max Welling
A Complexity-Distortion Approach to Joint Pattern Alignment
Andrea Vedaldi, Stefano Soatto
Active learning for misspecified generalized linear models
Francis R. Bach
AdaBoost is Consistent
Peter L. Bartlett, Mikhail Traskin
Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces
Moritz Grosse-wentrup, Klaus Gramann, Martin Buss
Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models
Mark Johnson, Thomas L. Griffiths, Sharon Goldwater
Aggregating Classification Accuracy across Time: Application to Single Trial EEG
Steven Lemm, Christin Schäfer, Gabriel Curio
A Humanlike Predictor of Facial Attractiveness
Amit Kagian, Gideon Dror, Tommer Leyvand et al.
A Kernel Method for the Two-Sample-Problem
Arthur Gretton, Karsten Borgwardt, Malte Rasch et al.
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems
Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida
A Local Learning Approach for Clustering
Mingrui Wu, Bernhard Schölkopf
Analysis of Contour Motions
Ce Liu, William T. Freeman, Edward H. Adelson
Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization
Rey Ramírez, Jason Palmer, Scott Makeig et al.
Analysis of Representations for Domain Adaptation
Shai Ben-David, John Blitzer, Koby Crammer et al.
An Application of Reinforcement Learning to Aerobatic Helicopter Flight
Pieter Abbeel, Adam Coates, Morgan Quigley et al.
An Approach to Bounded Rationality
Eli Ben-sasson, Ehud Kalai, Adam Kalai
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models
S. S. Keerthi, Vikas Sindhwani, Olivier Chapelle
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments
Michael I. Mandel, Daniel P. Ellis, Tony Jebara
An Information Theoretic Framework for Eukaryotic Gradient Sensing
Joseph M. Kimmel, Richard M. Salter, Peter J. Thomas
A Nonparametric Approach to Bottom-Up Visual Saliency
Wolf Kienzle, Felix A. Wichmann, Matthias O. Franz et al.
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments
Daniel J. Navarro, Thomas L. Griffiths
An Oracle Inequality for Clipped Regularized Risk Minimizers
Ingo Steinwart, Don Hush, Clint Scovel
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems
David Barber, Bertrand Mesot
A PAC-Bayes Risk Bound for General Loss Functions
Pascal Germain, Alexandre Lacasse, François Laviolette et al.
Approximate Correspondences in High Dimensions
Kristen Grauman, Trevor Darrell