Papers
Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs
Sunita Nayak, Kester Duncan, Sudeep Sarkar et al.
Nonparametric Guidance of Autoencoder Representations using Label Information
Jasper Snoek, Ryan P. Adams, Hugo Larochelle
Robust Kernel Density Estimation
JooSeuk Kim, Clayton D. Scott
Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints
Mehrdad Mahdavi, Rong Jin, Tianbao Yang
On the Convergence Rate of -Norm Multiple Kernel Learning
Marius Kloft, Gilles Blanchard
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
Alain Hauser, Peter Bühlmann
Multi-Target Regression with Rule Ensembles
Timo Aho, Bernard Ženko, Sašo Džeroski et al.
A Local Spectral Method for Graphs: With Applications to Improving Graph Partitions and Exploring Data Graphs Locally
Michael W. Mahoney, Lorenzo Orecchia, Nisheeth K. Vishnoi
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion
Animashree Anandkumar, Vincent Y.F. Tan, Furong Huang et al.
Pairwise Support Vector Machines and their Application to Large Scale Problems
Carl Brunner, Andreas Fischer, Klaus Luig et al.
MedLDA: Maximum Margin Supervised Topic Models
Jun Zhu, Amr Ahmed, Eric P. Xing
Sign Language Recognition using Sub-Units
Helen Cooper, Eng-Jon Ong, Nicolas Pugeault et al.
An Introduction to Artificial Prediction Markets for Classification
Adrian Barbu, Nathan Lay
DEAP: Evolutionary Algorithms Made Easy
Félix-Antoine Fortin, François-Michel De Rainville, Marc-André Gardner et al.
On the Necessity of Irrelevant Variables
David P. Helmbold, Philip M. Long
A Comparison of the Lasso and Marginal Regression
Christopher R. Genovese, Jiashun Jin, Larry Wasserman et al.
Optimistic Bayesian Sampling in Contextual-Bandit Problems
Benedict C. May, Nathan Korda, Anthony Lee et al.
Pattern for Python
Tom De Smedt, Walter Daelemans
EP-GIG Priors and Applications in Bayesian Sparse Learning
Zhihua Zhang, Shusen Wang, Dehua Liu et al.
An Improved GLMNET for L1-regularized Logistic Regression
Guo-Xun Yuan, Chia-Hua Ho, Chih-Jen Lin
Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences
Jan Grau, Jens Keilwagen, André Gohr et al.
Integrating a Partial Model into Model Free Reinforcement Learning
Aviv Tamar, Dotan Di Castro, Ron Meir
Confidence-Weighted Linear Classification for Text Categorization
Koby Crammer, Mark Dredze, Fernando Pereira