Papers
10,712 papers found
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
Zhaohui Zheng, Hongyuan Zha, Tong Zhang et al.
Cooled and Relaxed Survey Propagation for MRFs
Hai L. Chieu, Wee S. Lee, Yee W. Teh
HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation
Bing Zhao, Eric P. Xing
One-Pass Boosting
Zafer Barutcuoglu, Phil Long, Rocco Servedio
Learning and using relational theories
Charles Kemp, Noah Goodman, Joshua B. Tenenbaum
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
Alexander L. Strehl, Michael L. Littman
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting
Ping Li, Qiang Wu, Christopher J. Burges
A probabilistic model for generating realistic lip movements from speech
Gwenn Englebienne, Tim Cootes, Magnus Rattray
Boosting the Area under the ROC Curve
Phil Long, Rocco Servedio
Privacy-Preserving Belief Propagation and Sampling
Michael Kearns, Jinsong Tan, Jennifer Wortman
The rat as particle filter
Aaron C. Courville, Nathaniel D. Daw
Linear Classification and Selective Sampling Under Low Noise Conditions
Giovanni Cavallanti, Nicolò Cesa-bianchi, Claudio Gentile
Unifying the Sensory and Motor Components of Sensorimotor Adaptation
Adrian Haith, Carl P. Jackson, R. C. Miall et al.
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection
Takafumi Kanamori, Shohei Hido, Masashi Sugiyama
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG
Julia Owen, Hagai T. Attias, Kensuke Sekihara et al.
Robust Regression and Lasso
Huan Xu, Constantine Caramanis, Shie Mannor
Adaptive Martingale Boosting
Phil Long, Rocco Servedio
Recursive Segmentation and Recognition Templates for 2D Parsing
Leo Zhu, Yuanhao Chen, Yuan Lin et al.
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm
Andrew Smith, Hongyuan Zha, Xiao-ming Wu
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
A rational model of preference learning and choice prediction by children
Christopher G. Lucas, Thomas L. Griffiths, Fei Xu et al.
Kernelized Sorting
Novi Quadrianto, Le Song, Alex J. Smola
Generative and Discriminative Learning with Unknown Labeling Bias
Steven J. Phillips, Miroslav Dudík
Clusters and Coarse Partitions in LP Relaxations
David Sontag, Amir Globerson, Tommi S. Jaakkola
Load and Attentional Bayes
Peter Dayan