Papers
Kernel-Based Learning of Hierarchical Multilabel Classification Models
Juho Rousu, Craig Saunders, Sandor Szedmak et al.
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra
Shai Shalev-Shwartz, Yoram Singer
Large Scale Multiple Kernel Learning
Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer et al.
Building Support Vector Machines with Reduced Classifier Complexity
S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems
Luca Zanni, Thomas Serafini, Gaetano Zanghirati
Maximum-Gain Working Set Selection for SVMs
Tobias Glasmachers, Christian Igel
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems
Tijl De Bie, Nello Cristianini
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming
Matthias Heiler, Christoph Schnörr
Bayesian Network Learning with Parameter Constraints
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
Anders Bergkvist, Peter Damaschke, Marcel Lüthi
Ensemble Pruning Via Semi-definite Programming
Yi Zhang, Samuel Burer, W. Nick Street
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data
Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyya, Alexander J. Smola
The Interplay of Optimization and Machine Learning Research
Kristin P. Bennett, Emilio Parrado-Hernández
Nonparametric Quantile Estimation
Ichiro Takeuchi, Quoc V. Le, Timothy D. Sears et al.
Worst-Case Analysis of Selective Sampling for Linear Classification
Nicoló Cesa-Bianchi, Claudio Gentile, Luca Zaniboni
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
Enrique Castillo, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero et al.
New Algorithms for Efficient High-Dimensional Nonparametric Classification
Ting Liu, Andrew W. Moore, Alexander Gray
Step Size Adaptation in Reproducing Kernel Hilbert Space
S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex J. Smola
Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems
Eyal Even-Dar, Shie Mannor, Yishay Mansour
A Graphical Representation of Equivalence Classes of AMP Chain Graphs
Alberto Roverato, Milan Studený
One-Class Novelty Detection for Seizure Analysis from Intracranial EEG
Andrew B. Gardner, Abba M. Krieger, George Vachtsevanos et al.
Sparse Boosting
Peter Bühlmann, Bin Yu
Quantile Regression Forests
Nicolai Meinshausen