Papers
21,849 papers found
The discriminant center-surround hypothesis for bottom-up saliency
Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos
The Distribution Family of Similarity Distances
Gertjan Burghouts, Arnold Smeulders, Jan-mark Geusebroek
The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information
John Langford, Tong Zhang
The Generalized FITC Approximation
Andrew Naish-guzman, Sean Holden
The Infinite Gamma-Poisson Feature Model
Michalis K. Titsias
The Infinite Markov Model
Daichi Mochihashi, Eiichiro Sumita
The Noisy-Logical Distribution and its Application to Causal Inference
Alan L. Yuille, Hongjing Lu
Theoretical Analysis of Heuristic Search Methods for Online POMDPs
Stephane Ross, Joelle Pineau, Brahim Chaib-draa
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity
Dejan Pecevski, Wolfgang Maass, Robert A. Legenstein
The Price of Bandit Information for Online Optimization
Varsha Dani, Sham M. Kakade, Thomas P. Hayes
The rat as particle filter
Aaron C. Courville, Nathaniel D. Daw
The Tradeoffs of Large Scale Learning
Léon Bottou, Olivier Bousquet
The Value of Labeled and Unlabeled Examples when the Model is Imperfect
Kaushik Sinha, Mikhail Belkin
Topmoumoute Online Natural Gradient Algorithm
Nicolas L. Roux, Pierre-antoine Manzagol, Yoshua Bengio
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations
M. M. Mahmud, Sylvian Ray
TrueSkill Through Time: Revisiting the History of Chess
Pierre Dangauthier, Ralf Herbrich, Tom Minka et al.
Ultrafast Monte Carlo for Statistical Summations
Charles L. Isbell, Michael P. Holmes, Alexander G. Gray
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks
Alex Graves, Marcus Liwicki, Horst Bunke et al.
Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data
Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
Geoffrey E. Hinton, Ruslan Salakhutdinov
Variational Inference for Diffusion Processes
Cédric Archambeau, Manfred Opper, Yuan Shen et al.
Variational inference for Markov jump processes
Manfred Opper, Guido Sanguinetti
What makes some POMDP problems easy to approximate?
Wee S. Lee, Nan Rong, David Hsu
A Bayesian Approach to Diffusion Models of Decision-Making and Response Time
Michael D. Lee, Ian G. Fuss, Daniel J. Navarro
Accelerated Variational Dirichlet Process Mixtures
Kenichi Kurihara, Max Welling, Nikos Vlassis