Papers
21,849 papers found
Approximate inference using planar graph decomposition
Amir Globerson, Tommi S. Jaakkola
A Probabilistic Algorithm Integrating Source Localization and Noise Suppression of MEG and EEG data
Johanna M. Zumer, Hagai T. Attias, Kensuke Sekihara et al.
A recipe for optimizing a time-histogram
Hideaki Shimazaki, Shigeru Shinomoto
A Scalable Machine Learning Approach to Go
Lin Wu, Pierre F. Baldi
A selective attention multi--chip system with dynamic synapses and spiking neurons
Chiara Bartolozzi, Giacomo Indiveri
A Small World Threshold for Economic Network Formation
Eyal Even-dar, Michael Kearns
A Theory of Retinal Population Coding
Eizaburo Doi, Michael S. Lewicki
Attentional Processing on a Spike-Based VLSI Neural Network
Yingxue Wang, Rodney J. Douglas, Shih-Chii Liu
Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions
Philip M. Long, Rocco Servedio
Automated Hierarchy Discovery for Planning in Partially Observable Environments
Laurent Charlin, Pascal Poupart, Romy Shioda
Balanced Graph Matching
Timothee Cour, Praveen Srinivasan, Jianbo Shi
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure
Jennifer Listgarten, Radford M. Neal, Sam T. Roweis et al.
Bayesian Ensemble Learning
Hugh A. Chipman, Edward I. George, Robert E. Mcculloch
Bayesian Image Super-resolution, Continued
Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts et al.
Bayesian Model Scoring in Markov Random Fields
Sridevi Parise, Max Welling
Bayesian Policy Gradient Algorithms
Mohammad Ghavamzadeh, Yaakov Engel
Blind source separation for over-determined delayed mixtures
Lars Omlor, Martin Giese
Boosting Structured Prediction for Imitation Learning
J. A. Bagnell, Joel Chestnutt, David M. Bradley et al.
Branch and Bound for Semi-Supervised Support Vector Machines
Olivier Chapelle, Vikas Sindhwani, S. S. Keerthi
Causal inference in sensorimotor integration
Konrad P. Körding, Joshua B. Tenenbaum
Chained Boosting
Christian R. Shelton, Wesley Huie, Kin F. Kan
Clustering appearance and shape by learning jigsaws
Anitha Kannan, John Winn, Carsten Rother
Clustering Under Prior Knowledge with Application to Image Segmentation
Dong S. Cheng, Vittorio Murino, Mário Figueiredo