Papers
173,579 papers found
Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning
Xinggang Wang, Xiang Bai, Xingwei Yang et al.
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data
Vijay Mahadevan, Chi W. Wong, Jose C. Pereira et al.
Maximum Margin Multi-Instance Learning
Hua Wang, Heng Huang, Farhad Kamangar et al.
Maximum Margin Multi-Label Structured Prediction
Christoph H. Lampert
Maximum Volume Clustering
Gang Niu, Bo Dai, Lin Shang et al.
Message-Passing for Approximate MAP Inference with Latent Variables
Jiarong Jiang, Piyush Rai, Hal Daume
Metric Learning with Multiple Kernels
Jun Wang, Huyen T. Do, Adam Woznica et al.
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers
Blaine Nelson, Battista Biggio, Pavel Laskov
Minimax Algorithm for Learning Rotations
Wojciech Kotłowski, Manfred K. Warmuth
Minimax Localization of Structural Information in Large Noisy Matrices
Mladen Kolar, Sivaraman Balakrishnan, Alessandro Rinaldo et al.
Minimax Policies for Combinatorial Prediction Games
Jean-Yves Audibert, Sébastien Bubeck, Gábor Lugosi
Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments
Gábor Bartók, Dávid Pál, Csaba Szepesvári
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
Paramveer S. Dhillon, Dean Foster, Lyle H. Ungar
Missing Information Impediments to Learnability
Loizos Michael
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