Papers
184,605 papers found
Using Markov Blankets for Causal Structure Learning
Jean-Philippe Pellet, André Elisseeff
Using matrices to model symbolic relationship
Ilya Sutskever, Geoffrey E. Hinton
Using Recognition to Guide a Robot's Attention
Alexander Thomas, Vittorio Ferrari, Bastian Leibe et al.
Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management
Abraham George, Warren B. Powell, Sanjeev R. Kulkarni
Value Function Based Reinforcement Learning in Changing Markovian Environments
Balázs Csanád Csáji, László Monostori
Variational Mixture of Gaussian Process Experts
Chao Yuan, Claus Neubauer
Visualizing Data using t-SNE
Laurens van der Maaten, Geoffrey Hinton
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
Ali Rahimi, Benjamin Recht
A Bayesian Framework for Cross-Situational Word-Learning
Noah Goodman, Joshua B. Tenenbaum, Michael J. Black
A Bayesian LDA-based model for semi-supervised part-of-speech tagging
Kristina Toutanova, Mark Johnson
A Bayesian Model of Conditioned Perception
Alan Stocker, Eero P. Simoncelli
A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses
Massimiliano Giulioni, Mario Pannunzi, Davide Badoni et al.
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Byron Boots, Geoffrey J. Gordon, Sajid M. Siddiqi
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Doucet et al.
Active Preference Learning with Discrete Choice Data
Brochu Eric, Nando D. Freitas, Abhijeet Ghosh
AdaBoost is Consistent
Peter L. Bartlett, Mikhail Traskin
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis
Venkat Chandrasekaran, Alan S. Willsky, Jason K. Johnson
Adaptive Non-Stationary Kernel Regression for Terrain Modeling
Tobias Lang, Christian Plagemann, and Wolfram Burgard
Adaptive Online Gradient Descent
Peter L. Bartlett, Elad Hazan, Alexander Rakhlin
A Discrete Geometric Optimal Control Framework for Systems with Symmetries
Marin Kobilarov, Mathieu Desbrun, Jerrold Marsden et al.
A Fast and Practical Algorithm for Generalized Penetration Depth Computation
Liangjun Zhang, Young J. Kim, and Dinesh Manocha
A Fundamental Tradeoff between Performance and Sensitivity within Haptic Rendering
Paul Griffiths, Brent Gillespie, and Jim Freudenberg
A Game-Theoretic Approach to Apprenticeship Learning
Umar Syed, Robert E. Schapire
A general agnostic active learning algorithm
Sanjoy Dasgupta, Daniel J. Hsu, Claire Monteleoni