Papers
Combining Knowledge from Different Sources in Causal Probabilistic Models
Marek J. Druzdzel, Francisco J. Díez
Introduction to the Special Issue on the Fusion of Domain Knowledge with Data for Decision Support
Richard Dybowski, Kathryn B. Laskey, James W. Myers et al.
Learning Probabilistic Models: An Expected Utility Maximization Approach
Craig Friedman, Sven Sandow
Tree Induction vs. Logistic Regression: A Learning-Curve Analysis
Claudia Perlich, Foster Provost, Jeffrey S. Simonoff
Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction
Mary Elaine Califf, Raymond J. Mooney
On the Proper Learning of Axis-Parallel Concepts
Nader H. Bshouty, Lynn Burroughs
Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds
Lawrence K. Saul, Sam T. Roweis
Task Clustering and Gating for Bayesian Multitask Learning
Bart Bakker, Tom Heskes
The em Algorithm for Kernel Matrix Completion with Auxiliary Data
Koji Tsuda, Shotaro Akaho, Kiyoshi Asai
Designing Committees of Models through Deliberate Weighting of Data Points
Stefan W. Christensen, Ian Sinclair, Philippa A. S. Reed
FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples
Vassilios Petridis, Vassilis G. Kaburlasos
On Nearest-Neighbor Error-Correcting Output Codes with Application to All-Pairs Multiclass Support Vector Machines
Aldebaro Klautau, Nikola Jevtić, Alon Orlitsky
Use of the Zero-Norm with Linear Models and Kernel Methods
Jason Weston, André Elisseeff, Bernhard Schölkopf et al.
Ranking a Random Feature for Variable and Feature Selection
Hervé Stoppiglia, Gérard Dreyfus, Rémi Dubois et al.
MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling
Isabelle Rivals, Léon Personnaz
Variable Selection Using SVM-based Criteria
Alain Rakotomamonjy
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space
Simon Perkins, Kevin Lacker, James Theiler
Sufficient Dimensionality Reduction
Amir Globerson, Naftali Tishby
A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Kumar
Benefitting from the Variables that Variable Selection Discards
Rich Caruana, Virginia R. de Sa
Dimensionality Reduction via Sparse Support Vector Machines
Jinbo Bi, Kristin Bennett, Mark Embrechts et al.