Papers
Toward Attribute Efficient Learning of Decision Lists and Parities
Adam R. Klivans, Rocco A. Servedio
Online Passive-Aggressive Algorithms
Koby Crammer, Ofer Dekel, Joseph Keshet et al.
Learning Coordinate Covariances via Gradients
Sayan Mukherjee, Ding-Xuan Zhou
Learning Recursive Control Programs from Problem Solving
Pat Langley, Dongkyu Choi
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
Tonatiuh Peña Centeno, Neil D. Lawrence
Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach
Emanuel Kitzelmann, Ute Schmid
Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition
Ron Begleiter, Ran El-Yaniv
Using Machine Learning to Guide Architecture Simulation
Greg Hamerly, Erez Perelman, Jeremy Lau et al.
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting
Andrea Passerini, Paolo Frasconi, Luc De Raedt
Some Discriminant-Based PAC Algorithms
Paul W. Goldberg
In Search of Non-Gaussian Components of a High-Dimensional Distribution
Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama et al.
Learning the Structure of Linear Latent Variable Models
Ricardo Silva, Richard Scheine, Clark Glymour et al.
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
Dana Pe'er, Amos Tanay, Aviv Regev
Bounds for Linear Multi-Task Learning
Andreas Maurer
Generalized Bradley-Terry Models and Multi-Class Probability Estimates
Tzu-Kuo Huang, Ruby C. Weng, Chih-Jen Lin
On the Complexity of Learning Lexicographic Strategies
Michael Schmitt, Laura Martignon
Incremental Algorithms for Hierarchical Classification
Nicoló Cesa-Bianchi, Claudio Gentile, Luca Zaniboni
Relational Learning with Gaussian Processes
Wei Chu, Vikas Sindhwani, Zoubin Ghahramani et al.
Denoising and Dimension Reduction in Feature Space
Mikio L. Braun, Klaus-Robert Müller, Joachim M. Buhmann
Boosting Structured Prediction for Imitation Learning
J. A. Bagnell, Joel Chestnutt, David M. Bradley et al.
Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms
Xinhua Zhang, Wee S. Lee
MLLE: Modified Locally Linear Embedding Using Multiple Weights
Zhenyue Zhang, Jing Wang