Papers
184,605 papers found
Linear-Time Computation of Similarity Measures for Sequential Data
Konrad Rieck, Pavel Laskov
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
Magic Moments for Structured Output Prediction
Elisa Ricci, Tijl De Bie, Nello Cristianini
Manifold Learning: The Price of Normalization
Yair Goldberg, Alon Zakai, Dan Kushnir et al.
MAS: a multiplicative approximation scheme for probabilistic inference
Ydo Wexler, Christopher Meek
Maximal Causes for Non-linear Component Extraction
Jörg Lücke, Maneesh Sahani
Max-margin Classification of Data with Absent Features
Gal Chechik, Geremy Heitz, Gal Elidan et al.
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
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