Papers
184,605 papers found
Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control
Lavi Shpigelman, Hagai Lalazar, Eilon Vaadia
Kernel Change-point Analysis
Zaïd Harchaoui, Eric Moulines, Francis R. Bach
Kernelized Sorting
Novi Quadrianto, Le Song, Alex J. Smola
Kernel Measures of Independence for non-iid Data
Xinhua Zhang, Le Song, Arthur Gretton et al.
Large Margin Taxonomy Embedding for Document Categorization
Kilian Q. Weinberger, Olivier Chapelle
Laser and Vision Based Outdoor Object Mapping
Bertrand Douillard, Dieter Fox, Fabio Ramos
Learning a discriminative hidden part model for human action recognition
Yang Wang, Greg Mori
Learning Balls of Strings from Edit Corrections
Leonor Becerra-Bonache, Colin de la Higuera, Jean-Christophe Janodet et al.
Learning Bounded Treewidth Bayesian Networks
Gal Elidan, Stephen Gould
Learning Bounded Treewidth Bayesian Networks
Gal Elidan, Stephen Gould
Learning Control Knowledge for Forward Search Planning
Sungwook Yoon, Alan Fern, Robert Givan
Learning from Multiple Sources
Koby Crammer, Michael Kearns, Jennifer Wortman
Learning Hybrid Models for Image Annotation with Partially Labeled Data
Xuming He, Richard S. Zemel
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
Giorgio Corani, Marco Zaffalon
Learning Taxonomies by Dependence Maximization
Matthew Blaschko, Arthur Gretton
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
Yi Zhang, Artur Dubrawski, Jeff G. Schneider
Learning to Combine Motor Primitives Via Greedy Additive Regression
Manu Chhabra, Robert A. Jacobs
Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation
Dov Katz, Yuri Pyuro, Oliver Brock
Learning to Select Features using their Properties
Eyal Krupka, Amir Navot, Naftali Tishby
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
LIBLINEAR: A Library for Large Linear Classification
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh et al.
Linear Classification and Selective Sampling Under Low Noise Conditions
Giovanni Cavallanti, Nicolò Cesa-bianchi, Claudio Gentile