Papers
Mixability is Bayes Risk Curvature Relative to Log Loss
Tim Erven, Mark D. Reid, Robert C. Williamson
Mixed Cumulative Distribution Networks
Ricardo Silva, Charles Blundell, Yee Whye Teh
Mixed-Variate Restricted Boltzmann Machines
Truyen Tran, Dinh Phung, Svetha Venkatesh
Model-Based Proprioceptive State Estimation for Spring-Mass Running
Ozlem Gur, Uluc Saranli
Modelling Genetic Variations using Fragmentation-Coagulation Processes
Yee W. Teh, Charles Blundell, Lloyd Elliott
Models of Cooperative Teaching and Learning
Sandra Zilles, Steffen Lange, Robert Holte et al.
Monotone multi-armed bandit allocations
Aleksandrs Slivkins
Monte Carlo Pose Estimation with Quaternion Kernels and the Bingham Distribution
Jared Glover, Radu Rusu, Gary Bradski
Monte Carlo Value Iteration with Macro-Actions
Zhan Lim, Lee Sun, David Hsu
Motion Planning Under Uncertainty In Highly Deformable Environments
Sachin Patil, Jur van den Berg, Ron Alterovitz
MSVMpack: A Multi-Class Support Vector Machine Package
Fabien Lauer, Yann Guermeur
MULAN: A Java Library for Multi-Label Learning
Grigorios Tsoumakas, Eleftherios Spyromitros-Xioufis, Jozef Vilcek et al.
Multi-armed bandits on implicit metric spaces
Aleksandrs Slivkins
Multi-Bandit Best Arm Identification
Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric et al.
Multiclass Boosting: Theory and Algorithms
Mohammad J. Saberian, Nuno Vasconcelos
Multiclass Learnability and the ERM principle
Amit Daniely, Sivan Sabato, Shai Ben-David et al.
Multicore Gibbs Sampling in Dense, Unstructured Graphs
Tianbing Xu, Alexander Ihler
Multi-label Active Learning with Auxiliary Learner
Chen-Wei Hung, Hsuan-Tien Lin
Multi-label Classification with Error-correcting Codes
Chung-Sung Ferng, Hsuan-Tien Lin
Multi-Label Output Codes using Canonical Correlation Analysis
Yi Zhang, Jeff Schneider
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach
Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic et al.
Multiple Instance Filtering
Kamil A. Wnuk, Stefano Soatto
Multiple Instance Learning on Structured Data
Dan Zhang, Yan Liu, Luo Si et al.
Multiple Kernel Learning Algorithms
Mehmet Gönen, Ethem Alpaydin