Papers
172,654 papers found
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
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
Zhaohui Zheng, Hongyuan Zha, Tong Zhang et al.
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
Arindam Banerjee, Inderjit Dhillon, Joydeep Ghosh et al.
Agreement-Based Learning
Percy Liang, Dan Klein, Michael I. Jordan
A Kernel Statistical Test of Independence
Arthur Gretton, Kenji Fukumizu, Choon H. Teo et al.
A learning framework for nearest neighbor search
Lawrence Cayton, Sanjoy Dasgupta
An Analysis of Convex Relaxations for MAP Estimation
Pawan Mudigonda, Vladimir Kolmogorov, Philip Torr