Papers
Learning to be Bayesian without Supervision
Martin Raphan, Eero P. Simoncelli
Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields
Chi-hoon Lee, Shaojun Wang, Feng Jiao et al.
Learning to parse images of articulated bodies
Deva Ramanan
Learning to Rank with Nonsmooth Cost Functions
Christopher J. Burges, Robert Ragno, Quoc V. Le
Learning to Traverse Image Manifolds
Piotr Dollár, Vincent Rabaud, Serge J. Belongie
Learning with Hypergraphs: Clustering, Classification, and Embedding
Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf
Linearly-solvable Markov decision problems
Emanuel Todorov
Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning
Peter Auer, Ronald Ortner
Logistic Regression for Single Trial EEG Classification
Ryota Tomioka, Kazuyuki Aihara, Klaus-Robert Müller
Manifold Denoising
Matthias Hein, Markus Maier
Map-Reduce for Machine Learning on Multicore
Cheng-tao Chu, Sang K. Kim, Yi-an Lin et al.
Max-margin classification of incomplete data
Gal Chechik, Geremy Heitz, Gal Elidan et al.
Mixture Regression for Covariate Shift
Masashi Sugiyama, Amos J. Storkey
MLLE: Modified Locally Linear Embedding Using Multiple Weights
Zhenyue Zhang, Jing Wang
Modeling Dyadic Data with Binary Latent Factors
Edward Meeds, Zoubin Ghahramani, Radford M. Neal et al.
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers
Modeling Human Motion Using Binary Latent Variables
Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis
Modelling transcriptional regulation using Gaussian Processes
Neil D. Lawrence, Guido Sanguinetti, Magnus Rattray
Multi-dynamic Bayesian Networks
Karim Filali, Jeff A. Bilmes
Multi-Instance Multi-Label Learning with Application to Scene Classification
Zhi-Li Zhang, Min-ling Zhang
Multiple Instance Learning for Computer Aided Diagnosis
Murat Dundar, Balaji Krishnapuram, R. B. Rao et al.
Multiple timescales and uncertainty in motor adaptation
Konrad P. Körding, Joshua B. Tenenbaum, Reza Shadmehr
Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games
Chris Murray, Geoffrey J. Gordon
Multi-Task Feature Learning
Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil
Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype
Tobias Sing, Niko Beerenwinkel