Scikit-learn: Machine Learning in Python

Five balltree construction algorithms

S.M. Omohundro · 1989

Earlier work this paper cites.

LIBSVM: a library for support vector machines

C.C. Chang and C.J. Lin · 2001

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Result analysis of the NIPS 2003 feature selection challenge, 2004

I Guyon, S. R. Gunn, A. Ben-Hur, and G. Dror · 2004

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Least Angle Regression, Lasso and Forward Stagewise

T. Hastie and B. Efron · 2004

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Python: batteries included , volume 9 of Computing in Science & Engineering

P.F. Dubois, editor · 2007

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MLPy: high-performance Python package for predictive modeling

D. Albanese, G. Merler, S.and Jurman, and R. Visintainer · 2008

Cited alongside, same era.

LIBLINEAR: A library for large linear classification

R.E. Fan, K.W. Chang, C.J. Hsieh, X.R. Wang, and C.J. Lin · 2008

Cited alongside, same era.

Modular toolkit for Data Processing (MDP): a Python data processing framework

T. Zito, N. Wilbert, L. Wiskott, and P. Berkes · 2008

Cited alongside, same era.

PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data

M. Hanke, Y.O. Halchenko, P.B. Sederberg, S.J. Hanson, J.V. Haxby, and S. Pollmann · 2009

Cited alongside, same era.

A randomized algorithm for principal component analysis

V. Rokhlin, A. Szlam, and M. Tygert · 2009

Cited alongside, same era.

Regularization paths for generalized linear models via coordinate descent

J. Friedman, T. Hastie, and R. Tibshirani · 2010

Later among the works it cites.

The SHOGUN Machine Learning Toolbox

S. Sonnenburg, G. Rätsch, S. Henschel, C. Widmer, J. Behr, A. Zien, F. de Bona, A. Binder, C. Gehl, and V. Franc · 2010

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A supervised clustering approach for fMRI-based inference of brain states

V. Michel, A. Gramfort, G. Varoquaux, E. Eger, C. Keribin, and B. Thirion · 2011

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Scientific Python , volume 11 of Computing in Science & Engineering

K.J. Milmann and M. Avaizis, editors · 2011

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The NumPy array: a structure for efficient numerical computation

S. Van der Walt, S.C Colbert, and G. Varoquaux · 2011

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