Papers
184,605 papers found
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
Model Monitor (M2): Evaluating, Comparing, and Monitoring Models
Troy Raeder, Nitesh V. Chawla
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.
Multi-task Reinforcement Learning in Partially Observable Stochastic Environments
Hui Li, Xuejun Liao, Lawrence Carin
Nash Equilibria of Static Prediction Games
Michael Brückner, Tobias Scheffer
Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions
Sébastien Bubeck, Ulrike von Luxburg
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.
NEUROSVM: An Architecture to Reduce the Effect of the Choice of Kernel on the Performance of SVM
Pradip Ghanty, Samrat Paul, Nikhil R. Pal
Nieme: Large-Scale Energy-Based Models
Francis Maes
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
Nonextensive Information Theoretic Kernels on Measures
André F. T. Martins, Noah A. Smith, Eric P. Xing et al.
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
Nonlinear Models Using Dirichlet Process Mixtures
Babak Shahbaba, Radford Neal
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
Mingyuan Zhou, Haojun Chen, Lu Ren et al.