Papers
184,605 papers found
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
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 Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning
Carine Hue, Marc Boullé
A New View of Automatic Relevance Determination
David P. Wipf, Srikantan S. Nagarajan
An experimental study of exploiting multipath fading for robot communications
Magnus Lindhé, Karl Henrik Johansson, and Antonio Bicchi
An Implicit Time-Stepping Method for Multibody Systems with Intermittent Contact
Nilanjan Chakraborty, Stephen Berard, Srinivas Akella et al.
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
Devarajan Sridharan, Brian Percival, John Arthur et al.
An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression
Kwangmoo Koh, Seung-Jean Kim, Stephen Boyd
An online Hebbian learning rule that performs Independent Component Analysis
Claudia Clopath, André Longtin, Wulfram Gerstner
A Nonparametric Statistical Approach to Clustering via Mode Identification
Jia Li, Surajit Ray, Bruce G. Lindsay
Anytime Induction of Cost-sensitive Trees
Saher Esmeir, Shaul Markovitch
Anytime Learning of Decision Trees
Saher Esmeir, Shaul Markovitch
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians
Sanjoy Dasgupta, Leonard Schulman
A Probabilistic Approach to Language Change
Alexandre Bouchard-côté, Percy Liang, Dan Klein et al.
A probabilistic model for generating realistic lip movements from speech
Gwenn Englebienne, Tim Cootes, Magnus Rattray
A Randomized Algorithm for Large Scale Support Vector Learning
Krishnan Kumar, Chiru Bhattacharya, Ramesh Hariharan
A Risk Minimization Principle for a Class of Parzen Estimators
Kristiaan Pelckmans, Johan Suykens, Bart D. Moor
A Spectral Regularization Framework for Multi-Task Structure Learning
Andreas Argyriou, Massimiliano Pontil, Yiming Ying et al.
A Stochastic Algorithm for Feature Selection in Pattern Recognition
Sébastien Gadat, Laurent Younes