Papers
16,557 papers found
Neurophysiological Evidence of Cooperative Mechanisms for Stereo Computation
Jason M. Samonds, Brian R. Potetz, Tai S. Lee
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons
Stefan Klampfl, Wolfgang Maass, Robert A. Legenstein
A Theory of Retinal Population Coding
Eizaburo Doi, Michael S. Lewicki
Speakers optimize information density through syntactic reduction
T. F. Jaeger, Roger P. Levy
Prediction on a Graph with a Perceptron
Mark Herbster, Massimiliano Pontil
Efficient Methods for Privacy Preserving Face Detection
Shai Avidan, Moshe Butman
Learning on Graph with Laplacian Regularization
Rie K. Ando, Tong Zhang
Distributed Inference in Dynamical Systems
Stanislav Funiak, Carlos Guestrin, Rahul Sukthankar et al.
Boosting Structured Prediction for Imitation Learning
J. A. Bagnell, Joel Chestnutt, David M. Bradley et al.
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains
Andrea Lecchini-visintini, John Lygeros, Jan Maciejowski
Regret Minimization in Games with Incomplete Information
Martin Zinkevich, Michael Johanson, Michael Bowling et al.
A Bayesian Model of Conditioned Perception
Alan Stocker, Eero P. Simoncelli
Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing
Yuanhao Chen, Long Zhu, Chenxi Lin et al.
The Noisy-Logical Distribution and its Application to Causal Inference
Alan L. Yuille, Hongjing Lu
Distributed Inference for Latent Dirichlet Allocation
David Newman, Padhraic Smyth, Max Welling et al.
Kernel Measures of Conditional Dependence
Kenji Fukumizu, Arthur Gretton, Xiaohai Sun et al.
Temporal Difference Updating without a Learning Rate
Marcus Hutter, Shane Legg
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Sebastian Gerwinn, Matthias Bethge, Jakob H. Macke et al.
Multi-task Gaussian Process Prediction
Edwin V. Bonilla, Kian M. Chai, Christopher Williams
Collective Inference on Markov Models for Modeling Bird Migration
M.a. S. Elmohamed, Dexter Kozen, Daniel R. Sheldon
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization
Xuanlong Nguyen, Martin J. Wainwright, Michael I. Jordan
Variational inference for Markov jump processes
Manfred Opper, Guido Sanguinetti
Expectation Maximization and Posterior Constraints
Kuzman Ganchev, Ben Taskar, João Gama
Optimal ROC Curve for a Combination of Classifiers
Marco Barreno, Alvaro Cardenas, J. D. Tygar