Projects that are tagged with large scale learning.


Logo JMLR MultiBoost 1.2.00

by busarobi - April 22, 2013, 15:42:53 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 14275 views, 2493 downloads, 1 subscription

About: MultiBoost is a multi-purpose boosting package implemented in C++. It is based on the multi-class/multi-task AdaBoost.MH algorithm [Schapire-Singer, 1999]. Basic base learners (stumps, trees, products, Haar filters for image processing) can be easily complemented by new data representations and the corresponding base learners, without interfering with the main boosting engine.

Changes:
  • A new fast (sublinear in the number of instances) stump algorithm is implemented. The gain in time is proportional to the sparsity of the features (it is significant when a lot of instances take the most frequent feature value). See Section B.2 in the documentation.
  • A parametrized early stopping option is added in --traintest mode. We stop if the (smoothed) test error does not improve for a certain number of iterations. See Section 4.1.3 in the documentation.

Logo EnsembleSVM 1.2

by claesenm - March 30, 2013, 14:04:13 CET [ Project Homepage BibTeX Download ] 861 views, 199 downloads, 1 subscription

About: The EnsembleSVM library offers functionality to perform ensemble learning using Support Vector Machine (SVM) base models. In particular, we offer routines for binary ensemble models using SVM base classifiers. Experimental results have shown the predictive performance to be comparable with standard SVM models but with drastically reduced training time. Ensemble learning with SVM models is particularly useful for semi-supervised tasks.

Changes:

Fixed bug in IndexedFile, which caused esvm-train to fail when used without bootstrap mask. Library API/ABI remain unchanged, library revision increased.


Logo MyMediaLite 3.07

by zenog - February 9, 2013, 13:14:25 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 27837 views, 4639 downloads, 1 subscription

About: MyMediaLite is a lightweight, multi-purpose library of recommender system algorithms.

Changes:

Important changes:

  • new rating predictor GSVD++ (contributed by Marcelo Manzato)
  • new recommenders ExternalRatingPredictor and ExternalItemRecommender to evaluate external tools with the MyMediaLite evaluation framework
  • incremental update support for item recommendation UserKNN and ItemKNN (based on a pull request by João Vinagre)
  • --cross-validation support for the rating_based_ranking tool (as requested by Pieter-Jan Verbrugen)
  • removed the group recommendation code
  • cleaner item recommendation evaluation, with a bug fix in the cross-validation code and a complete rewrite of online evaluation
  • removed unused matrix and vector math, faster and simplified matrix code

Logo LIBOCAS 0.93

by vf - June 20, 2010, 12:22:05 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 7829 views, 1113 downloads, 2 subscriptions

About: The library implements Optimized Cutting Plane Algorithm (OCAS) for efficient training of linear SVM classifiers from large-scale data.

Changes:

Implemented COFFIN framework which allows efficient training of invariant image classifiers via virtual examples.


Logo asp 0.3

by sonne - May 7, 2010, 10:25:39 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6005 views, 1114 downloads, 1 subscription

About: Accurate splice site predictor for a variety of genomes.

Changes:

Asp now supports three formats:

-g fname for gff format

-s fname for spf format

-b dir for a binary format compatible with mGene.

And a new switch

-t which switches on a sigmoid-based transformation of the svm scores to get scores between 0 and 1.


Logo arts 0.2

by sonne - May 25, 2009, 09:56:31 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 3424 views, 703 downloads, 1 subscription

About: ARTS is an accurate predictor for Transcription Start Sites (TSS).

Changes:

Initial Announcement on mloss.org.


Logo BMRM 2.1

by chteo - May 8, 2009, 08:08:20 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4514 views, 779 downloads, 1 subscription

About: BMRM is an open source, modular and scalable convex solver for many machine learning problems cast in the form of regularized risk minimization problem.

Changes:

Initial Announcement on mloss.org.


Logo JMLR Nieme 1.0

by francis - April 2, 2009, 10:57:38 CET [ Project Homepage BibTeX Download ] 15298 views, 1933 downloads, 1 subscription

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About: Nieme is a C++ machine learning library for large-scale classification, regression and ranking. It provides a simple interface available in C++, Python and Java and a user interface for visualization.

Changes:

Released Nieme 1.0


Logo Disco 0.1

by tuulos - October 6, 2008, 11:14:48 CET [ Project Homepage BibTeX Download ] 5143 views, 1022 downloads, 1 subscription

About: Disco is an open-source implementation of the [Map-Reduce framework](http://en.wikipedia.org/wiki/MapReduce) for distributed computing. As the original framework, Disco supports parallel [...]

Changes:

Initial Announcement on mloss.org.


Logo JMLR LIBLINEAR 1.32

by biconnect - September 3, 2008, 17:35:24 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 14728 views, 1659 downloads, 2 subscriptions

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About: LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, L1-loss linear SVM, and multi-class SVM

Changes:

Initial Announcement on mloss.org.


Logo LaRank 1.1

by antojne - July 15, 2008, 15:58:25 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6092 views, 1085 downloads, 1 subscription

About: LaRank is an online solver for multiclass Support Vector Machines.

Changes:

Initial Announcement on mloss.org.


Logo BSVM 2.06

by biconnect - January 30, 2008, 10:27:13 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6474 views, 1193 downloads, 1 subscription

About: BSVM solves support vector machines (SVM) for the solution of large classification and regression problems. It includes three methods

Changes:

Initial Announcement on mloss.org.


Logo PLearn 0.92

by vincentp - November 30, 2007, 07:51:26 CET [ Project Homepage BibTeX Download ] 5183 views, 1302 downloads, 0 subscriptions

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About: PLearn is a large C++ machine-learning library with a set of Python tools and Python bindings. It is mostly a research platform for developing novel algorithms, and is being used extensively at [...]

Changes:

Initial Announcement on mloss.org.