Papers
172,654 papers found
Loop Corrections for Approximate Inference on Factor Graphs
Joris M. Mooij, Hilbert J. Kappen
Loop Series and Bethe Variational Bounds in Attractive Graphical Models
Alan S. Willsky, Erik B. Sudderth, Martin J. Wainwright
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
Gerald Tesauro, Rajarshi Das, Hoi Chan et al.
Map-Based Precision Vehicle Localization in Urban Environments
Jesse Levinson, Michael Montemerlo, and Sebastian Thrun
Mapping Large Loops with a Single Hand-Held Camera
Laura A. Clemente, Andrew Davison, Ian Reid et al.
Margin Trees for High-dimensional Classification
Robert Tibshirani, Trevor Hastie
Markov Chain Monte Carlo with People
Adam Sanborn, Thomas L. Griffiths
Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling
Miroslav Dudík, Steven J. Phillips, Robert E. Schapire
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting
Ping Li, Qiang Wu, Christopher J. Burges
Measuring Neural Synchrony by Message Passing
Justin Dauwels, François Vialatte, Tomasz Rutkowski et al.
Message Passing for Max-weight Independent Set
Sujay Sanghavi, Devavrat Shah, Alan S. Willsky
Minimax Regret Classifier for Imprecise Class Distributions
Rocío Alaiz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro
Mining Internet-Scale Software Repositories
Erik Linstead, Paul Rigor, Sushil Bajracharya et al.
Modeling image patches with a directed hierarchy of Markov random fields
Simon Osindero, Geoffrey E. Hinton
Modeling Natural Sounds with Modulation Cascade Processes
Richard Turner, Maneesh Sahani
Modelling motion primitives and their timing in biologically executed movements
Ben Williams, Marc Toussaint, Amos J. Storkey
Motion Strategies for Surveillance
Sourabh Bhattacharya, Salvatore Candido, and Seth Hutchinson
Multi-class Protein Classification Using Adaptive Codes
Iain Melvin, Eugene Ie, Jason Weston et al.
Multiple-Instance Active Learning
Burr Settles, Mark Craven, Soumya Ray
Multiple-Instance Pruning For Learning Efficient Cascade Detectors
Cha Zhang, Paul A. Viola
Multi-task Gaussian Process Prediction
Edwin V. Bonilla, Kian M. Chai, Christopher Williams
Multi-Task Learning for Classification with Dirichlet Process Priors
Ya Xue, Xuejun Liao, Lawrence Carin et al.
Multi-Task Learning via Conic Programming
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama et al.
Nearest-Neighbor-Based Active Learning for Rare Category Detection
Jingrui He, Jaime G. Carbonell