Papers
4,122 papers found
Incremental Algorithms for Hierarchical Classification
Nicoló Cesa-Bianchi, Claudio Gentile, Luca Zaniboni
Incremental Support Vector Learning: Analysis, Implementation and Applications
Pavel Laskov, Christian Gehl, Stefan Krüger et al.
Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach
Emanuel Kitzelmann, Ute Schmid
Infinite-Ï Limits For Tikhonov Regularization
Ross A. Lippert, Ryan M. Rifkin
In Search of Non-Gaussian Components of a High-Dimensional Distribution
Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama et al.
Kernel-Based Learning of Hierarchical Multilabel Classification Models
Juho Rousu, Craig Saunders, Sandor Szedmak et al.
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting
Andrea Passerini, Paolo Frasconi, Luc De Raedt
Large Scale Multiple Kernel Learning
Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer et al.
Large Scale Transductive SVMs
Ronan Collobert, Fabian Sinz, Jason Weston et al.
Learning a Hidden Hypergraph
Dana Angluin, Jiang Chen
Learning Coordinate Covariances via Gradients
Sayan Mukherjee, Ding-Xuan Zhou
Learning Factor Graphs in Polynomial Time and Sample Complexity
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
Learning Image Components for Object Recognition
Michael W. Spratling
Learning Minimum Volume Sets
Clayton D. Scott, Robert D. Nowak
Learning Parts-Based Representations of Data
David A. Ross, Richard S. Zemel
Learning Recursive Control Programs from Problem Solving
Pat Langley, Dongkyu Choi
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming
Matthias Heiler, Christoph Schnörr
Learning Spectral Clustering, With Application To Speech Separation
Francis R. Bach, Michael I. Jordan
Learning the Structure of Linear Latent Variable Models
Ricardo Silva, Richard Scheine, Clark Glymour et al.
Learning to Detect and Classify Malicious Executables in the Wild
J. Zico Kolter, Marcus A. Maloof
Linear Programming Relaxations and Belief Propagation -- An Empirical Study
Chen Yanover, Talya Meltzer, Yair Weiss
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
Anders Bergkvist, Peter Damaschke, Marcel Lüthi
Linear State-Space Models for Blind Source Separation
Rasmus Kongsgaard Olsson, Lars Kai Hansen
Lower Bounds and Aggregation in Density Estimation
Guillaume Lecué
Machine Learning for Computer Security
Philip K. Chan, Richard P. Lippmann