Papers
21,849 papers found
Unlabeled data: Now it helps, now it doesn't
Aarti Singh, Robert Nowak, Xiaojin Zhu
Unsupervised Learning of Visual Sense Models for Polysemous Words
Kate Saenko, Trevor Darrell
Using Bayesian Dynamical Systems for Motion Template Libraries
Silvia Chiappa, Jens Kober, Jan R. Peters
Using matrices to model symbolic relationship
Ilya Sutskever, Geoffrey E. Hinton
Variational Mixture of Gaussian Process Experts
Chao Yuan, Claus Neubauer
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 Preference Learning with Discrete Choice Data
Brochu Eric, Nando D. Freitas, Abhijeet Ghosh
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis
Venkat Chandrasekaran, Alan S. Willsky, Jason K. Johnson
Adaptive Online Gradient Descent
Peter L. Bartlett, Elad Hazan, Alexander Rakhlin
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.
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
An Analysis of Inference with the Universum
Olivier Chapelle, Alekh Agarwal, Fabian H. Sinz et al.
A neural network implementing optimal state estimation based on dynamic spike train decoding
Omer Bobrowski, Ron Meir, Shy Shoham et al.
A New View of Automatic Relevance Determination
David P. Wipf, Srikantan S. Nagarajan
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
Devarajan Sridharan, Brian Percival, John Arthur et al.