Papers
172,654 papers found
Temporal Dynamics of Cognitive Control
Jeremy Reynolds, Michael Mozer
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction
Fabian H. Sinz, Matthias Bethge
The Gaussian Process Density Sampler
Iain Murray, David MacKay, Ryan P. Adams
The Infinite Factorial Hidden Markov Model
Jurgen V. Gael, Yee W. Teh, Zoubin Ghahramani
The Infinite Hierarchical Factor Regression Model
Piyush Rai, Hal Daume
The Mondrian Process
Daniel M. Roy, Yee W. Teh
Theory of matching pursuit
Zakria Hussain, John S. Shawe-taylor
The Recurrent Temporal Restricted Boltzmann Machine
Ilya Sutskever, Geoffrey E. Hinton, Graham W. Taylor
Tighter Bounds for Structured Estimation
Olivier Chapelle, Chuong B. Do, Choon H. Teo et al.
Tracking Changing Stimuli in Continuous Attractor Neural Networks
K. Wong, Si Wu, Chi Fung
Transfer Learning by Distribution Matching for Targeted Advertising
Steffen Bickel, Christoph Sawade, Tobias Scheffer
Translated Learning: Transfer Learning across Different Feature Spaces
Wenyuan Dai, Yuqiang Chen, Gui-rong Xue et al.
Trust Region Newton Method for Logistic Regression
Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi
Unifying the Sensory and Motor Components of Sensorimotor Adaptation
Adrian Haith, Carl P. Jackson, R. C. Miall et al.
Universal Multi-Task Kernels
Andrea Caponnetto, Charles A. Micchelli, Massimiliano Pontil et al.
Unlabeled data: Now it helps, now it doesn't
Aarti Singh, Robert Nowak, Xiaojin Zhu
Unsupervised Learning of Visual Sense Models for Polysemous Words
Kate Saenko, Trevor Darrell
Using Bayesian Dynamical Systems for Motion Template Libraries
Silvia Chiappa, Jens Kober, Jan R. Peters
Using Markov Blankets for Causal Structure Learning
Jean-Philippe Pellet, André Elisseeff
Using matrices to model symbolic relationship
Ilya Sutskever, Geoffrey E. Hinton
Using Recognition to Guide a Robot's Attention
Alexander Thomas, Vittorio Ferrari, Bastian Leibe et al.
Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management
Abraham George, Warren B. Powell, Sanjeev R. Kulkarni
Value Function Based Reinforcement Learning in Changing Markovian Environments
Balázs Csanád Csáji, László Monostori
Variational Mixture of Gaussian Process Experts
Chao Yuan, Claus Neubauer