Papers
176,624 papers found
An Implicit Time-Stepping Method for Multibody Systems with Intermittent Contact
Nilanjan Chakraborty, Stephen Berard, Srinivas Akella et al.
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
Devarajan Sridharan, Brian Percival, John Arthur et al.
An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression
Kwangmoo Koh, Seung-Jean Kim, Stephen Boyd
An online Hebbian learning rule that performs Independent Component Analysis
Claudia Clopath, André Longtin, Wulfram Gerstner
A Nonparametric Statistical Approach to Clustering via Mode Identification
Jia Li, Surajit Ray, Bruce G. Lindsay
Anytime Induction of Cost-sensitive Trees
Saher Esmeir, Shaul Markovitch
Anytime Learning of Decision Trees
Saher Esmeir, Shaul Markovitch
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians
Sanjoy Dasgupta, Leonard Schulman
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.
A Stochastic Algorithm for Feature Selection in Pattern Recognition
Sébastien Gadat, Laurent Younes
A Tree Parameterization for Efficiently Computing Maximum Likelihood Maps using Gradient Descent
Giorgio Grisetti, Cyrill Stachniss, Slawomir Grzonka 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.
Automatic Scheduling for Parallel Forward Dynamics Computation of Open Kinematic Chains
Katsu Yamane and Yoshihiko Nakamura
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.