Papers
A Kernel Statistical Test of Independence
Arthur Gretton, Kenji Fukumizu, Choon H. Teo et al.
A learning framework for nearest neighbor search
Lawrence Cayton, Sanjoy Dasgupta
An Analysis of Convex Relaxations for MAP Estimation
Pawan Mudigonda, Vladimir Kolmogorov, Philip Torr
An Analysis of Inference with the Universum
Olivier Chapelle, Alekh Agarwal, Fabian H. Sinz et al.
A neural network implementing optimal state estimation based on dynamic spike train decoding
Omer Bobrowski, Ron Meir, Shy Shoham et al.
A New View of Automatic Relevance Determination
David P. Wipf, Srikantan S. Nagarajan
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
Devarajan Sridharan, Brian Percival, John Arthur et al.
An online Hebbian learning rule that performs Independent Component Analysis
Claudia Clopath, André Longtin, Wulfram Gerstner
Anytime Induction of Cost-sensitive Trees
Saher Esmeir, Shaul Markovitch
A Probabilistic Approach to Language Change
Alexandre Bouchard-côté, Percy Liang, Dan Klein et al.
A probabilistic model for generating realistic lip movements from speech
Gwenn Englebienne, Tim Cootes, Magnus Rattray
A Randomized Algorithm for Large Scale Support Vector Learning
Krishnan Kumar, Chiru Bhattacharya, Ramesh Hariharan
A Risk Minimization Principle for a Class of Parzen Estimators
Kristiaan Pelckmans, Johan Suykens, Bart D. Moor
A Spectral Regularization Framework for Multi-Task Structure Learning
Andreas Argyriou, Massimiliano Pontil, Yiming Ying et al.
Augmented Functional Time Series Representation and Forecasting with Gaussian Processes
Nicolas Chapados, Yoshua Bengio
Automatic Generation of Social Tags for Music Recommendation
Douglas Eck, Paul Lamere, Thierry Bertin-mahieux et al.
Bayes-Adaptive POMDPs
Stephane Ross, Brahim Chaib-draa, Joelle Pineau
Bayesian Agglomerative Clustering with Coalescents
Yee W. Teh, Hal Daume III, Daniel M. Roy
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms
Dominik Endres, Mike Oram, Johannes Schindelin et al.
Bayesian Co-Training
Shipeng Yu, Balaji Krishnapuram, Harald Steck et al.
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Sebastian Gerwinn, Matthias Bethge, Jakob H. Macke et al.
Bayesian Policy Learning with Trans-Dimensional MCMC
Matthew Hoffman, Arnaud Doucet, Nando D. Freitas et al.
Blind channel identification for speech dereverberation using l1-norm sparse learning
Yuanqing Lin, Jingdong Chen, Youngmoo Kim et al.