Papers
176,624 papers found
MDPs with Non-Deterministic Policies
Mahdi M. Fard, Joelle Pineau
Measures of Clustering Quality: A Working Set of Axioms for Clustering
Shai Ben-David, Margareta Ackerman
Metastable Walking on Stochastically Rough Terrain
Katie Byl, Russ Tedrake
Mind the Duality Gap: Logarithmic regret algorithms for online optimization
Shai Shalev-shwartz, Sham M. Kakade
Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis
Kun Zhang, Laiwan Chan
Mixed Membership Stochastic Blockmodels
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg et al.
Mixed Membership Stochastic Blockmodels
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg et al.
Model Based Vehicle Tracking for Autonomous Driving in Urban Environments
Anna Petrovskaya, Sebastian Thrun
Modeling human function learning with Gaussian processes
Thomas L. Griffiths, Chris Lucas, Joseph Williams et al.
Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex
Arno Onken, Steffen Grünewälder, Matthias Munk et al.
Modeling the effects of memory on human online sentence processing with particle filters
Roger P. Levy, Florencia Reali, Thomas L. Griffiths
Model selection and velocity estimation using novel priors for motion patterns
Shuang Wu, Hongjing Lu, Alan L. Yuille
Model Selection for Regression with Continuous Kernel Functions Using the Modulus of Continuity
Imhoi Koo, Rhee Man Kil
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE
Garvesh Raskutti, Bin Yu, Martin J. Wainwright et al.
Model Selection in Kernel Based Regression using the Influence Function
Michiel Debruyne, Mia Hubert, Johan A.K. Suykens
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont
Mortal Multi-Armed Bandits
Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski et al.
Multi-Agent Filtering with Infinitely Nested Beliefs
Luke Zettlemoyer, Brian Milch, Leslie P. Kaelbling
Multi-Agent Reinforcement Learning in Common Interest and Fixed Sum Stochastic Games: An Experimental Study
Avraham Bab, Ronen I. Brafman
Multi-class Discriminant Kernel Learning via Convex Programming
Jieping Ye, Shuiwang Ji, Jianhui Chen
Multi-label Multiple Kernel Learning
Shuiwang Ji, Liang Sun, Rong Jin et al.
Multi-Level Active Prediction of Useful Image Annotations for Recognition
Sudheendra Vijayanarasimhan, Kristen Grauman
Multi-resolution Exploration in Continuous Spaces
Ali Nouri, Michael L. Littman
Multiscale Random Fields with Application to Contour Grouping
Longin J. Latecki, Chengen Lu, Marc Sobel et al.
Multi-Sensor Lane Finding in Urban Road Networks
Albert Huang, David Moore, Matthew Antone et al.