Papers
172,654 papers found
A selective attention multi--chip system with dynamic synapses and spiking neurons
Chiara Bartolozzi, Giacomo Indiveri
A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events
Shalabh Bhatnagar, Vivek S. Borkar, Madhukar Akarapu
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
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
Enrique Castillo, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero et al.
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 Network Learning with Parameter Constraints
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
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.
Bounds for Linear Multi-Task Learning
Andreas Maurer
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
Magnus Ekdahl, Timo Koski
Branch and Bound for Semi-Supervised Support Vector Machines
Olivier Chapelle, Vikas Sindhwani, S. S. Keerthi
Building Support Vector Machines with Reduced Classifier Complexity
S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste
Causal Graph Based Decomposition of Factored MDPs
Anders Jonsson, Andrew Barto
Causal inference in sensorimotor integration
Konrad P. Körding, Joshua B. Tenenbaum