MLOSS 2014

11 papers

BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits Ruben Martinez-Cantin

Conditional Random Field with High-Order Dependencies for Sequence Labeling and Segmentation Nguyen Viet Cuong, Nan Ye, Wee Sun Lee, Hai Leong Chieu

EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines Marc Claesen, Frank De Smet, Johan A.K. Suykens, Bart De Moor

Information Theoretical Estimators Toolbox Zoltán Szabó

LIBOL: A Library for Online Learning Algorithms Steven C.H. Hoi, Jialei Wang, Peilin Zhao

Manopt, a Matlab Toolbox for Optimization on Manifolds Nicolas Boumal, Bamdev Mishra, P.-A. Absil, Rodolphe Sepulchre

ooDACE Toolbox: A Flexible Object-Oriented Kriging Implementation Ivo Couckuyt, Tom Dhaene, Piet Demeester

Pystruct - Learning Structured Prediction in Python Andreas C. Müller, Sven Behnke

SPMF: A Java Open-Source Pattern Mining Library Philippe Fournier-Viger, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Cheng-Wei Wu, Vincent S. Tseng

The FASTCLIME Package for Linear Programming and Large-Scale Precision Matrix Estimation in R Haotian Pang, Han Liu, Robert Vanderbei

The Gesture Recognition Toolkit Nicholas Gillian, Joseph A. Paradiso