Papers
Mining Recurring Concept Drifts with Limited Labeled Streaming Data
Peipei Li, Xindong Wu, Xuegang Hu
Mixture of time-warped trajectory models for movement decoding
Elaine Corbett, Eric Perreault, Konrad Koerding
MOA: Massive Online Analysis
Albert Bifet, Geoff Holmes, Richard Kirkby et al.
Model-based Boosting 2.0
Torsten Hothorn, Peter Bühlmann, Thomas Kneib et al.
Model-Free Monte Carlo-like Policy Evaluation
Raphael Fonteneau, Susan Murphy, Louis Wehenkel et al.
Modeling annotator expertise: Learning when everybody knows a bit of something
Yan Yan, Romer Rosales, Glenn Fung et al.
Model Selection: Beyond the Bayesian/Frequentist Divide
Isabelle Guyon, Amir Saffari, Gideon Dror et al.
Monte-Carlo Planning in Large POMDPs
David Silver, Joel Veness
Moreau-Yosida Regularization for Grouped Tree Structure Learning
Jun Liu, Jieping Ye
More data means less inference: A pseudo-max approach to structured learning
David Sontag, Ofer Meshi, Amir Globerson et al.
Motion planning under bounded uncertainty using ensemble control
A. Becker and T. Bretl
Movement extraction by detecting dynamics switches and repetitions
Silvia Chiappa, Jan R. Peters
Multiclass-Multilabel Classification with More Classes than Examples
Ofer Dekel, Ohad Shamir
Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition
Serhat Bucak, Rong Jin, Anil K. Jain
Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers
Manas Pathak, Shantanu Rane, Bhiksha Raj
Multiple Kernel Learning and the SMO Algorithm
Zhaonan Sun, Nawanol Ampornpunt, Manik Varma et al.
Multi-Priority Cartesian Impedance Control
R. Platt, M. Abdallah and C. Wampler
Multi-Stage Dantzig Selector
Ji Liu, Peter Wonka, Jieping Ye
Multitask Learning for Brain-Computer Interfaces
Morteza Alamgir, Moritz Grosse–Wentrup, Yasemin Altun
Multi-task Learning for Recommender System
Xia Ning, George Karypis
Multi-Task Learning using Generalized t Process
Yu Zhang, Dit–Yan Yeung
Multitask Learning without Label Correspondences
Novi Quadrianto, James Petterson, Tibério S. Caetano et al.
Multivariate Dyadic Regression Trees for Sparse Learning Problems
Han Liu, Xi Chen
Multi-View Active Learning in the Non-Realizable Case
Wei Wang, Zhi-Hua Zhou
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks
Atsushi Miyamae, Yuichi Nagata, Isao Ono et al.