20 projects found that use the gpl version 2 or later license.
Showing Items 1-20 of 66 on page 1 of 4: 1 2 3 4 Next

Logo r-cran-CoxBoost 1.4

by r-cran-robot - October 1, 2017, 00:00:08 CET [ Project Homepage BibTeX Download ] 36362 views, 6917 downloads, 3 subscriptions

About: Cox models by likelihood based boosting for a single survival endpoint or competing risks

Changes:

Fetched by r-cran-robot on 2017-10-01 00:00:08.270413


Logo r-cran-Boruta 5.2.0

by r-cran-robot - October 1, 2017, 00:00:05 CET [ Project Homepage BibTeX Download ] 29010 views, 5805 downloads, 2 subscriptions

About: Wrapper Algorithm for All Relevant Feature Selection

Changes:

Fetched by r-cran-robot on 2017-10-01 00:00:05.663690


Logo r-cran-caret 6.0-77

by r-cran-robot - October 1, 2017, 00:00:05 CET [ Project Homepage BibTeX Download ] 137497 views, 25880 downloads, 3 subscriptions

About: Classification and Regression Training

Changes:

Fetched by r-cran-robot on 2017-10-01 00:00:05.968509


Logo r-cran-effects 4.0-0

by r-cran-robot - September 14, 2017, 00:00:00 CET [ Project Homepage BibTeX Download ] 586 views, 173 downloads, 1 subscription

About: Effect Displays for Linear, Generalized Linear, and Other Models

Changes:

Fetched by r-cran-robot on 2017-10-01 00:00:08.745168


About: Tool aimed at helping remedy the reproducibility problem, specifically in the statistical and data wrangling aspects.

Changes:

Initial Announcement on mloss.org.


Logo Tools for Regression and Classification 1.0.0

by matloff - October 29, 2016, 08:22:40 CET [ Project Homepage BibTeX Download ] 2126 views, 410 downloads, 3 subscriptions

About: Toolkit for parametric and nonparametric regression and classification.

Changes:

Initial Announcement on mloss.org.


Logo rectools a Novel Toolbox for Recommender Systems 1.0.0

by matloff - October 29, 2016, 07:41:58 CET [ Project Homepage BibTeX Download ] 1974 views, 424 downloads, 2 subscriptions

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About: Novel R toolbox for collaborative filtering recommender systems.

Changes:

Initial Announcement on mloss.org.


Logo r-cran-bst 0.3-14

by r-cran-robot - September 12, 2016, 00:00:00 CET [ Project Homepage BibTeX Download ] 9154 views, 2106 downloads, 2 subscriptions

About: Gradient Boosting

Changes:

Fetched by r-cran-robot on 2017-10-01 00:00:05.765455


Logo r-cran-bnclassify 0.3.2

by r-cran-robot - May 1, 2016, 00:00:04 CET [ Project Homepage BibTeX Download ] 3164 views, 778 downloads, 2 subscriptions

About: Learning Discrete Bayesian Network Classifiers from Data

Changes:

Fetched by r-cran-robot on 2016-05-01 00:00:04.546512


Logo r-cran-BayesTree 0.3-1.4

by r-cran-robot - February 21, 2016, 00:00:00 CET [ Project Homepage BibTeX Download ] 12208 views, 2719 downloads, 1 subscription

About: Bayesian Additive Regression Trees

Changes:

Fetched by r-cran-robot on 2017-10-01 00:00:05.277645


Logo r-cran-ElemStatLearn 2015.6.26

by r-cran-robot - June 26, 2015, 00:00:00 CET [ Project Homepage BibTeX Download ] 12469 views, 2596 downloads, 3 subscriptions

About: Data Sets, Functions and Examples from the Book

Changes:

Fetched by r-cran-robot on 2017-10-01 00:00:09.022537


Logo Recur 1

by douglasbagnall - June 16, 2015, 12:06:05 CET [ Project Homepage BibTeX Download ] 2599 views, 655 downloads, 2 subscriptions

About: Recur is a collection of Gstreamer plugins and language modelling tools based on recurrent neural networks.

Changes:

Initial Announcement on mloss.org.


Logo JMLR Mulan 1.5.0

by lefman - February 23, 2015, 21:19:05 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 31062 views, 9399 downloads, 2 subscriptions

About: Mulan is an open-source Java library for learning from multi-label datasets. Multi-label datasets consist of training examples of a target function that has multiple binary target variables. This means that each item of a multi-label dataset can be a member of multiple categories or annotated by many labels (classes). This is actually the nature of many real world problems such as semantic annotation of images and video, web page categorization, direct marketing, functional genomics and music categorization into genres and emotions.

Changes:

Learners

  • MLCSSP.java: Added the MLCSSP algorithm (from ICML 2013)
  • Enhancements of multi-target regression capabilities
  • Improved CLUS support
  • Added pairwise classifier and pairwise transformation

Measures/Evaluation

  • Providing training data in the Evaluator is unnecessary in the case of specific measures.
  • Examples with missing ground truth are not skipped for measures that handle missing values.
  • Added logistics and squared error losses and measures

Bug fixes

  • IndexOutOfBounds in calculation of MiAP and GMiAP
  • Bug fix in Rcut.java
  • When in rank/score mode the meta-data contained additional unecessary attributes. (Newton Spolaor)

API changes

  • Upgrade to Java 7
  • Upgrade to Weka 3.7.10

Miscalleneous

  • Small changes and improvements in the wrapper classes for the CLUS library
  • ENTCS13FeatureSelection.java (new experiment)
  • Enumeration is now used for specifying the type of meta-data. (Newton Spolaor)

Logo r-cran-bigRR 1.3-10

by r-cran-robot - August 23, 2014, 00:00:00 CET [ Project Homepage BibTeX Download ] 5739 views, 1411 downloads, 0 subscriptions

About: Generalized Ridge Regression (with special advantage for p >> n cases)

Changes:

Fetched by r-cran-robot on 2017-10-01 00:00:05.486091


Logo JMLR MOA Massive Online Analysis Nov-13

by abifet - April 4, 2014, 03:50:20 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 21944 views, 7399 downloads, 1 subscription

About: Massive Online Analysis (MOA) is a real time analytic tool for data streams. It is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collection of offline and online methods as well as tools for evaluation. In particular, it implements boosting, bagging, and Hoeffding Trees, all with and without Naive Bayes classifiers at the leaves. MOA supports bi-directional interaction with WEKA, the Waikato Environment for Knowledge Analysis, and it is released under the GNU GPL license.

Changes:

New version November 2013


Logo FABIA 2.8.0

by hochreit - October 18, 2013, 10:14:57 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 17718 views, 3581 downloads, 1 subscription

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About: FABIA is a biclustering algorithm that clusters rows and columns of a matrix simultaneously. Consequently, members of a row cluster are similar to each other on a subset of columns and, analogously, members of a column cluster are similar to each other on a subset of rows. Biclusters are found by factor analysis where both the factors and the loading matrix are sparse. FABIA is a multiplicative model that extracts linear dependencies between samples and feature patterns. Applications include detection of transcriptional modules in gene expression data and identification of haplotypes/>identity by descent< consisting of rare variants obtained by next generation sequencing.

Changes:

CHANGES IN VERSION 2.8.0

NEW FEATURES

o rescaling of lapla
o extractPlot does not plot sorted matrices

CHANGES IN VERSION 2.4.0

o spfabia bugfixes

CHANGES IN VERSION 2.3.1

NEW FEATURES

o Getters and setters for class Factorization

2.0.0:

  • spfabia: fabia for a sparse data matrix (in sparse matrix format) and sparse vector/matrix computations in the code to speed up computations. spfabia applications: (a) detecting >identity by descent< in next generation sequencing data with rare variants, (b) detecting >shared haplotypes< in disease studies based on next generation sequencing data with rare variants;
  • fabia for non-negative factorization (parameter: non_negative);
  • changed to C and removed dependencies to Rcpp;
  • improved update for lambda (alpha should be smaller, e.g. 0.03);
  • introduced maximal number of row elements (lL);
  • introduced cycle bL when upper bounds nL or lL are effective;
  • reduced computational complexity;
  • bug fixes: (a) update formula for lambda: tighter approximation, (b) corrected inverse of the conditional covariance matrix of z;

1.4.0:

  • New option nL: maximal number of biclusters per row element;
  • Sort biclusters according to information content;
  • Improved and extended preprocessing;
  • Update to R2.13

Logo r-cran-GAMBoost 1.2-2

by r-cran-robot - April 1, 2013, 00:00:04 CET [ Project Homepage BibTeX Download ] 20745 views, 3980 downloads, 1 subscription

About: Generalized linear and additive models by likelihood based boosting

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:04.893311


Logo r-cran-nnet 7.3-6

by r-cran-robot - March 20, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 10097 views, 2148 downloads, 0 subscriptions

About: Feed-forward Neural Networks and Multinomial Log-Linear Models

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:06.544403


Logo r-cran-rattle 2.6.26

by r-cran-robot - March 16, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 13199 views, 2892 downloads, 0 subscriptions

About: Graphical user interface for data mining in R

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:07.700426


Logo r-cran-hda 0.2-11

by r-cran-robot - February 17, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 11902 views, 2419 downloads, 0 subscriptions

About: Heteroscedastic Discriminant Analysis

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:05.551691


Showing Items 1-20 of 66 on page 1 of 4: 1 2 3 4 Next