Papers
21,849 papers found
Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement
Michael T. Todd, Yael Niv, Jonathan D. Cohen
Learning Transformational Invariants from Natural Movies
Charles Cadieu, Bruno A. Olshausen
Learning with Consistency between Inductive Functions and Kernels
Haixuan Yang, Irwin King, Michael Lyu
Linear Classification and Selective Sampling Under Low Noise Conditions
Giovanni Cavallanti, Nicolò Cesa-bianchi, Claudio Gentile
Load and Attentional Bayes
Peter Dayan
Local Gaussian Process Regression for Real Time Online Model Learning
Duy Nguyen-tuong, Jan R. Peters, Matthias Seeger
Localized Sliced Inverse Regression
Qiang Wu, Sayan Mukherjee, Feng Liang
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
Shay B. Cohen, Kevin Gimpel, Noah A. Smith
Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification
Doug Downey, Oren Etzioni
MAS: a multiplicative approximation scheme for probabilistic inference
Ydo Wexler, Christopher Meek
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features
Tae-kyun Kim, Roberto Cipolla
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
Mind the Duality Gap: Logarithmic regret algorithms for online optimization
Shai Shalev-shwartz, Sham M. Kakade
Mixed Membership Stochastic Blockmodels
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg et al.
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 in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE
Garvesh Raskutti, Bin Yu, Martin J. Wainwright et al.
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-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