Papers
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming
Ashwin Srinivasan, Ross D. King
JNCC2: The Java Implementation Of Naive Credal Classifier 2
Giorgio Corani, Marco Zaffalon
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 Control Knowledge for Forward Search Planning
Sungwook Yoon, Alan Fern, Robert Givan
Learning from Multiple Sources
Koby Crammer, Michael Kearns, Jennifer Wortman
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
Giorgio Corani, Marco Zaffalon
Learning to Combine Motor Primitives Via Greedy Additive Regression
Manu Chhabra, Robert A. Jacobs
Learning to Select Features using their Properties
Eyal Krupka, Amir Navot, Naftali Tishby
LIBLINEAR: A Library for Large Linear Classification
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh et al.
Linear-Time Computation of Similarity Measures for Sequential Data
Konrad Rieck, Pavel Laskov
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.
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.
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.
Model Selection for Regression with Continuous Kernel Functions Using the Modulus of Continuity
Imhoi Koo, Rhee Man Kil
Model Selection in Kernel Based Regression using the Influence Function
Michiel Debruyne, Mia Hubert, Johan A.K. Suykens
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont
Multi-Agent Reinforcement Learning in Common Interest and Fixed Sum Stochastic Games: An Experimental Study
Avraham Bab, Ronen I. Brafman
Multi-class Discriminant Kernel Learning via Convex Programming
Jieping Ye, Shuiwang Ji, Jianhui Chen
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
Andreas Krause, Ajit Singh, Carlos Guestrin