Papers
4,122 papers found
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model
Jianqing Fan, Richard Samworth, Yichao Wu
Universal Kernel-Based Learning with Applications to Regular Languages
Leonid (Aryeh) Kontorovich, Boaz Nadler
Using Local Dependencies within Batches to Improve Large Margin Classifiers
Volkan Vural, Glenn Fung, Balaji Krishnapuram et al.
When Is There a Representer Theorem? Vector Versus Matrix Regularizers
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil
A Bahadur Representation of the Linear Support Vector Machine
Ja-Yong Koo, Yoonkyung Lee, Yuwon Kim et al.
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
Faustino Gomez, Jürgen Schmidhuber, Risto Miikkulainen
Active Learning by Spherical Subdivision
Falk-Florian Henrich, Klaus Obermayer
Active Learning of Causal Networks with Intervention Experiments and Optimal Designs
Yang-Bo He, Zhi Geng
Aggregation of SVM Classifiers Using Sobolev Spaces
Sébastien Loustau
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
Suhrid Balakrishnan, David Madigan
A Library for Locally Weighted Projection Regression
Stefan Klanke, Sethu Vijayakumar, Stefan Schaal
A Moment Bound for Multi-hinge Classifiers
Bernadetta Tarigan, Sara A. van de Geer
A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters
Zach Jorgensen, Yan Zhou, Meador Inge
An Error Bound Based on a Worst Likely Assignment
Eric Bax, Augusto Callejas
A New Algorithm for Estimating the Effective Dimension-Reduction Subspace
Arnak S. Dalalyan, Anatoly Juditsky, Vladimir Spokoiny
An Extension on “Statistical Comparisons of Classifiers over Multiple Data Sets” for all Pairwise Comparisons
Salvador García, Francisco Herrera
An Information Criterion for Variable Selection in Support Vector Machines
Gerda Claeskens, Christophe Croux, Johan Van Kerckhoven
Approximations for Binary Gaussian Process Classification
Hannes Nickisch, Carl Edward Rasmussen
A Recursive Method for Structural Learning of Directed Acyclic Graphs
Xianchao Xie, Zhi Geng
A Tutorial on Conformal Prediction
Glenn Shafer, Vladimir Vovk
Bayesian Inference and Optimal Design for the Sparse Linear Model
Matthias W. Seeger
Bouligand Derivatives and Robustness of Support Vector Machines for Regression
Andreas Christmann, Arnout Van Messem
Causal Reasoning with Ancestral Graphs
Jiji Zhang
Classification with a Reject Option using a Hinge Loss
Peter L. Bartlett, Marten H. Wegkamp