Papers
172,654 papers found
A Bayesian Approach to Diffusion Models of Decision-Making and Response Time
Michael D. Lee, Ian G. Fuss, Daniel J. Navarro
A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics
J. Ting, M. Mistry, J. Peters et al.
Accelerated Variational Dirichlet Process Mixtures
Kenichi Kurihara, Max Welling, Nikos Vlassis
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation
Yee W. Teh, David Newman, Max Welling
A Complexity-Distortion Approach to Joint Pattern Alignment
Andrea Vedaldi, Stefano Soatto
Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems
Eyal Even-Dar, Shie Mannor, Yishay Mansour
Active learning for misspecified generalized linear models
Francis R. Bach
Active Learning with Feedback on Features and Instances
Hema Raghavan, Omid Madani, Rosie Jones
AdaBoost is Consistent
Peter L. Bartlett, Mikhail Traskin
Adaptive Dynamics with Efficient Contact Handling for Articulated Robots
R. Gayle, M. Lin, D. Manocha
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
Fu Chang, Chin-Chin Lin, Chi-Jen Lu
Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces
Moritz Grosse-wentrup, Klaus Gramann, Martin Buss
Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models
Mark Johnson, Thomas L. Griffiths, Sharon Goldwater
A Direct Method for Building Sparse Kernel Learning Algorithms
Mingrui Wu, Bernhard Schölkopf, Gökhan Bakir
Aggregating Classification Accuracy across Time: Application to Single Trial EEG
Steven Lemm, Christin Schäfer, Gabriel Curio
A Graphical Representation of Equivalence Classes of AMP Chain Graphs
Alberto Roverato, Milan Studený
A Gravity Balancing Passive Exoskeleton for the Human Leg
S. Agrawal, S. Banala, A. Fattah
A Hierarchy of Support Vector Machines for Pattern Detection
Hichem Sahbi, Donald Geman
A Humanlike Predictor of Facial Attractiveness
Amit Kagian, Gideon Dror, Tommer Leyvand et al.
A Kernel Method for the Two-Sample-Problem
Arthur Gretton, Karsten Borgwardt, Malte Rasch et al.
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems
Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida
A Linear Non-Gaussian Acyclic Model for Causal Discovery
Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvä
A Local Learning Approach for Clustering
Mingrui Wu, Bernhard Schölkopf