Papers
23,522 papers found
The Infinite Gamma-Poisson Feature Model
Michalis K. Titsias
Anytime Induction of Cost-sensitive Trees
Saher Esmeir, Shaul Markovitch
On Sparsity and Overcompleteness in Image Models
Pietro Berkes, Richard Turner, Maneesh Sahani
A Bayesian LDA-based model for semi-supervised part-of-speech tagging
Kristina Toutanova, Mark Johnson
Modelling motion primitives and their timing in biologically executed movements
Ben Williams, Marc Toussaint, Amos J. Storkey
Efficient multiple hyperparameter learning for log-linear models
Chuan-sheng Foo, Chuong B. Do, Andrew Y. Ng
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
Ben Carterette, Rosie Jones
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
Devarajan Sridharan, Brian Percival, John Arthur et al.
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity
Dejan Pecevski, Wolfgang Maass, Robert A. Legenstein
The Value of Labeled and Unlabeled Examples when the Model is Imperfect
Kaushik Sinha, Mikhail Belkin
The Infinite Markov Model
Daichi Mochihashi, Eiichiro Sumita
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
Alexander L. Strehl, Michael L. Littman
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima et al.
A probabilistic model for generating realistic lip movements from speech
Gwenn Englebienne, Tim Cootes, Magnus Rattray
Message Passing for Max-weight Independent Set
Sujay Sanghavi, Devavrat Shah, Alan S. Willsky
Discriminative Batch Mode Active Learning
Yuhong Guo, Dale Schuurmans
Gaussian Process Models for Link Analysis and Transfer Learning
Kai Yu, Wei Chu
Supervised Topic Models
Jon D. Mcauliffe, David M. Blei
Agreement-Based Learning
Percy Liang, Dan Klein, Michael I. Jordan
Learning Horizontal Connections in a Sparse Coding Model of Natural Images
Pierre Garrigues, Bruno A. Olshausen
Non-parametric Modeling of Partially Ranked Data
Guy Lebanon, Yi Mao
Local Gaussian Process Regression for Real Time Online Model Learning
Duy Nguyen-tuong, Jan R. Peters, Matthias Seeger
Asynchronous Distributed Learning of Topic Models
Padhraic Smyth, Max Welling, Arthur U. Asuncion
Unifying the Sensory and Motor Components of Sensorimotor Adaptation
Adrian Haith, Carl P. Jackson, R. C. Miall et al.