Papers
176,624 papers found
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
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