Papers
172,654 papers found
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 Pyramid Match Kernel: Efficient Learning with Sets of Features
Kristen Grauman, Trevor Darrell
The rat as particle filter
Aaron C. Courville, Nathaniel D. Daw
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
Ron Alterovitz, Thierry Simeon, and Ken Goldberg
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
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning
Matthew E. Taylor, Peter Stone, Yaxin Liu
TrueSkill Through Time: Revisiting the History of Chess
Pierre Dangauthier, Ralf Herbrich, Tom Minka et al.
Truncating the Loop Series Expansion for Belief Propagation
Vicenç Gómez, Joris M. Mooij, Hilbert J. Kappen
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.
Undercomplete Blind Subspace Deconvolution
Zoltán Szabó, Barnabás Póczos, András Lő
Unlabeled Compression Schemes for Maximum Classes
Dima Kuzmin, Manfred K. Warmuth
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
Value Regularization and Fenchel Duality
Ryan M. Rifkin, Ross A. Lippert
Variational Inference for Diffusion Processes
Cédric Archambeau, Manfred Opper, Yuan Shen et al.
Variational inference for Markov jump processes
Manfred Opper, Guido Sanguinetti
VC Theory of Large Margin Multi-Category Classifiers
Yann Guermeur
Very Fast Online Learning of Highly Non Linear Problems
Aggelos Chariatis
Vision-Aided Inertial Navigation for Precise Planetary Landing: Analysis and Experiments
Anastasios Mourikis, Nikolas Trawny, Stergios Roumeliotis et al.
What makes some POMDP problems easy to approximate?
Wee S. Lee, Nan Rong, David Hsu