Papers
Maximin affinity learning of image segmentation
Kevin Briggman, Winfried Denk, Sebastian Seung et al.
Maximum likelihood trajectories for continuous-time Markov chains
Theodore J. Perkins
Measuring Invariances in Deep Networks
Ian Goodfellow, Honglak Lee, Quoc V. Le et al.
Measuring model complexity with the prior predictive
Wolf Vanpaemel
Modeling Social Annotation Data with Content Relevance using a Topic Model
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
Modeling the spacing effect in sequential category learning
Hongjing Lu, Matthew Weiden, Alan L. Yuille
Modelling Relational Data using Bayesian Clustered Tensor Factorization
Ilya Sutskever, Joshua B. Tenenbaum, Ruslan Salakhutdinov
Monte Carlo Sampling for Regret Minimization in Extensive Games
Marc Lanctot, Kevin Waugh, Martin Zinkevich et al.
Multi-Label Prediction via Compressed Sensing
Daniel J. Hsu, Sham M. Kakade, John Langford et al.
Multi-Label Prediction via Sparse Infinite CCA
Piyush Rai, Hal Daume
Multiple Incremental Decremental Learning of Support Vector Machines
Masayuki Karasuyama, Ichiro Takeuchi
Multi-Step Dyna Planning for Policy Evaluation and Control
Hengshuai Yao, Shalabh Bhatnagar, Dongcui Diao et al.
Nash Equilibria of Static Prediction Games
Michael Brückner, Tobias Scheffer
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling
Lei Shi, Thomas L. Griffiths
Neurometric function analysis of population codes
Philipp Berens, Sebastian Gerwinn, Alexander Ecker et al.
No evidence for active sparsification in the visual cortex
Pietro Berkes, Ben White, Jozsef Fiser
Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording
Zhi Yang, Qi Zhao, Edward Keefer et al.
Noisy Generalized Binary Search
Robert Nowak
Nonlinear directed acyclic structure learning with weakly additive noise models
Arthur Gretton, Peter Spirtes, Robert E. Tillman
Nonlinear Learning using Local Coordinate Coding
Kai Yu, Tong Zhang, Yihong Gong
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
Mingyuan Zhou, Haojun Chen, Lu Ren et al.
Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution
Cosmin Bejan, Matthew Titsworth, Andrew Hickl et al.
Nonparametric Bayesian Texture Learning and Synthesis
Long Zhu, Yuanahao Chen, Bill Freeman et al.
Nonparametric Greedy Algorithms for the Sparse Learning Problem
Han Liu, Xi Chen
Nonparametric Latent Feature Models for Link Prediction
Kurt Miller, Michael I. Jordan, Thomas L. Griffiths