Papers
Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data
Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
Geoffrey E. Hinton, Ruslan Salakhutdinov
Variational Inference for Diffusion Processes
Cédric Archambeau, Manfred Opper, Yuan Shen et al.
Variational inference for Markov jump processes
Manfred Opper, Guido Sanguinetti
What makes some POMDP problems easy to approximate?
Wee S. Lee, Nan Rong, David Hsu
A Bayesian Approach to Diffusion Models of Decision-Making and Response Time
Michael D. Lee, Ian G. Fuss, Daniel J. Navarro
Accelerated Variational Dirichlet Process Mixtures
Kenichi Kurihara, Max Welling, Nikos Vlassis
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