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Logo SeDuMi 1.21

by sonne - July 13, 2009, 10:22:00 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 7387 views, 1578 downloads, 1 subscription

About: SeDuMi is a software package to solve optimization problems over symmetric cones. This includes linear, quadratic, second order conic and semidefinite optimization, and any combination of these.

Changes:

Initial Announcement on mloss.org.


Logo Linear SVM with general regularization 1.0

by rflamary - October 5, 2012, 15:34:21 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5659 views, 1573 downloads, 1 subscription

About: This package is an implementation of a linear svm solver with a wide class of regularizations on the svm weight vector (l1, l2, mixed norm l1-lq, adaptive lasso). We provide solvers for the classical single task svm problem and for multi-task with joint feature selection or similarity promoting term.

Changes:

Initial Announcement on mloss.org.


Logo SVMlin 1.0

by vikas - November 27, 2007, 08:04:48 CET [ Project Homepage BibTeX Download ] 6979 views, 1572 downloads, 1 subscription

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About: SVMlin: Fast Linear SVMs for Supervised and Semi-supervised Learning

Changes:

Initial Announcement on mloss.org.


Logo LibPG 126

by daa - December 3, 2007, 19:59:04 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 7491 views, 1565 downloads, 0 subscriptions

About: The PG library is a high-performance reinforcement learning library. The name PG refers to policy-gradient methods, but this name is largely historical. The library also impliments value-based RL [...]

Changes:

Initial Announcement on mloss.org.


Logo Nen Beta

by pascal - February 19, 2012, 00:31:34 CET [ Project Homepage BibTeX Download ] 6247 views, 1564 downloads, 1 subscription

About: 3-layer neural network for regression with sigmoid activation function and command line interface similar to LibSVM.

Changes:

Initial Announcement on mloss.org.


About: The High-Dimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifier for high-dimensional data. This classifier is based on a mixture of Gaussian models adapted for [...]

Changes:

Initial Announcement on mloss.org.


Logo Python Robotics 5.0.0

by dsblank - January 22, 2008, 20:25:17 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 7522 views, 1541 downloads, 1 subscription

About: The goal of the project is to provide a programming environment for easily exploring advanced topics in artificial intelligence and robotics without having to worry about the low-level details of [...]

Changes:

Initial Announcement on mloss.org.


Logo Primal training Support Vector Machines 1.0

by chap - November 19, 2007, 17:41:14 CET [ Project Homepage BibTeX Download ] 6706 views, 1538 downloads, 0 comments, 0 subscriptions

About: Very simple code for training SVMs in the primal. Works particularly well on sparse linear problems. In the non-linear case the entire kernel matrix needs to be computed, so for large problems it is [...]

Changes:

Initial Announcement on mloss.org.


Logo Rudder 0.1

by dmcnelis - December 16, 2011, 22:00:45 CET [ Project Homepage BibTeX Download ] 4989 views, 1531 downloads, 1 subscription

About: An annotated java framework for machine learning, aimed at making it really easy to access analytically functions.

Changes:

Now supports OLS and GLS regression and NaiveBayes classification


Logo iBoost 0.1

by hiroto - December 1, 2007, 00:34:06 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6450 views, 1531 downloads, 0 subscriptions

About: Itemset boosting (iBoost) performs linear regression in the complete space of power sets of mutations. It implements a forward feature selection procedure where, in each iteration, one mutation [...]

Changes:

Initial Announcement on mloss.org.


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