Papers
Tree-Structured Neural Decoding
Christian d'Avignon, Donald Geman
Ultraconservative Online Algorithms for Multiclass Problems
Koby Crammer, Yoram Singer
Use of the Zero-Norm with Linear Models and Kernel Methods
Jason Weston, André Elisseeff, Bernhard Schölkopf et al.
Variable Selection Using SVM-based Criteria
Alain Rakotomamonjy
Word-Sequence Kernels
Nicola Cancedda, Eric Gaussier, Cyril Goutte et al.
Algorithmic Luckiness
Ralf Herbrich, Robert C. Williamson
A Robust Minimax Approach to Classification
Gert R.G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya et al.
Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
Alexander Strehl, Joydeep Ghosh
Coupled Clustering: A Method for Detecting Structural Correspondence
Zvika Marx, Ido Dagan, Joachim M. Buhmann et al.
Data-dependent margin-based generalization bounds for classification
András Antos, Balázs Kégl, Tamás Linder et al.
Efficient Algorithms for Decision Tree Cross-validation
Hendrik Blockeel, Jan Struyf
Efficient Algorithms for Universal Portfolios
Adam Kalai, Santosh Vempala
Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling
Tobias Scheffer, Stefan Wrobel
Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing
James Hammerton, Miles Osborne, Susan Armstrong et al.
Kernel Independent Component Analysis
Francis R. Bach, Michael I. Jordan
Learning Equivalence Classes of Bayesian-Network Structures
David Maxwell Chickering
Learning Monotone DNF from a Teacher that Almost Does Not Answer Membership Queries
Nader H. Bshouty, Nadav Eiron
Learning Precise Timing with LSTM Recurrent Networks
Felix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber
Learning Probabilistic Models of Link Structure
Lisa Getoor, Nir Friedman, Daphne Koller et al.
Learning Rules and Their Exceptions
Hervé Déjean
Learning to Construct Fast Signal Processing Implementations
Bryan Singer, Manuela Veloso
Limitations of Learning Via Embeddings in Euclidean Half Spaces
Shai Ben-David, Nadav Eiron, Hans Ulrich Simon
Lyapunov Design for Safe Reinforcement Learning
Theodore J. Perkins, Andrew G. Barto