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Logo r-cran-hda 0.2-11

by r-cran-robot - February 17, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 14432 views, 2860 downloads, 0 subscriptions

About: Heteroscedastic Discriminant Analysis

Changes:

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


Logo JProGraM 13.2

by ninofreno - February 13, 2013, 20:29:38 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 20855 views, 3930 downloads, 1 subscription

About: JProGraM (PRObabilistic GRAphical Models in Java) is a statistical machine learning library. It supports statistical modeling and data analysis along three main directions: (1) probabilistic graphical models (Bayesian networks, Markov random fields, dependency networks, hybrid random fields); (2) parametric, semiparametric, and nonparametric density estimation (Gaussian models, nonparanormal estimators, Parzen windows, Nadaraya-Watson estimator); (3) generative models for random networks (small-world, scale-free, exponential random graphs, Fiedler random graphs/fields), subgraph sampling algorithms (random walk, snowball, etc.), and spectral decomposition.

Changes:

JProGraM 13.2 -- CHANGE LOG

Release date: February 13, 2012

New features: -- Support for Fiedler random graphs/random field models for large-scale networks (ninofreno.graph.fiedler package); -- Various bugfixes and enhancements (especially in the ninofreno.graph and ninofreno.math package).


Logo r-cran-grpreg 2.3-0

by r-cran-robot - February 10, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 6910 views, 1573 downloads, 0 subscriptions

About: Regularization paths for regression models with grouped covariates

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:05.489694


Logo r-cran-mboost 2.2-2

by r-cran-robot - February 8, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 61430 views, 10624 downloads, 1 subscription

About: Model-Based Boosting

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:06.324985


Logo r-cran-glmpath 0.97

by r-cran-robot - February 5, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 11089 views, 2224 downloads, 1 subscription

About: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:05.305206


Logo r-cran-gbm 2.0-8

by r-cran-robot - January 17, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 11896 views, 2453 downloads, 1 subscription

About: Generalized Boosted Regression Models

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:05.019963


Logo r-cran-party 1.0-6

by r-cran-robot - January 9, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 44737 views, 9637 downloads, 1 subscription

About: A Laboratory for Recursive Partytioning

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:06.775432


Logo r-cran-predbayescor 1.1-4

by r-cran-robot - December 1, 2012, 00:00:07 CET [ Project Homepage BibTeX Download ] 5766 views, 1469 downloads, 1 subscription

About: Classification rule based on Bayesian naive Bayes models with feature selection bias corrected

Changes:

Fetched by r-cran-robot on 2012-12-01 00:00:07.510624


Logo r-cran-BPHO 1.3-0

by r-cran-robot - December 1, 2012, 00:00:03 CET [ Project Homepage BibTeX Download ] 8673 views, 1937 downloads, 1 subscription

About: Bayesian Prediction with High-order Interactions

Changes:

Fetched by r-cran-robot on 2012-12-01 00:00:03.777292


Logo r-cran-maptree 1.4-7

by r-cran-robot - November 24, 2012, 00:00:00 CET [ Project Homepage BibTeX Download ] 2466 views, 656 downloads, 0 subscriptions

About: Mapping, pruning, and graphing tree models

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:06.263217


Logo r-cran-lasso2 1.2-14

by r-cran-robot - November 20, 2012, 00:00:00 CET [ Project Homepage BibTeX Download ] 12532 views, 2548 downloads, 1 subscription

About: L1 constrained estimation aka `lasso'

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:05.967868


Logo r-cran-ipred 0.9-1

by r-cran-robot - November 14, 2012, 00:00:00 CET [ Project Homepage BibTeX Download ] 20342 views, 4522 downloads, 1 subscription

About: Improved Predictors

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:05.613011


Logo Milk 0.5

by luispedro - November 7, 2012, 13:08:28 CET [ Project Homepage BibTeX Download ] 44446 views, 10581 downloads, 1 subscription

Rating Whole StarWhole StarWhole StarEmpty StarEmpty Star
(based on 2 votes)

About: Python Machine Learning Toolkit

Changes:

Added LASSO (using coordinate descent optimization). Made SVM classification (learning and applying) much faster: 2.5x speedup on yeast UCI dataset.


Logo r-cran-penalized 0.9-42

by r-cran-robot - November 6, 2012, 00:00:00 CET [ Project Homepage BibTeX Download ] 32408 views, 6943 downloads, 1 subscription

About: L1 (lasso and fused lasso) and L2 (ridge) penalized estimation in GLMs and in the Cox model

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:06.939105


Logo r-cran-randomForest 4.6-7

by r-cran-robot - October 16, 2012, 00:00:00 CET [ Project Homepage BibTeX Download ] 22479 views, 4517 downloads, 1 subscription

About: Breiman and Cutler's random forests for classification and regression

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:07.638240


Logo TurboParser 2.0

by afm - October 11, 2012, 02:59:04 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 9138 views, 1965 downloads, 1 subscription

About: TurboParser is a free multilingual dependency parser based on linear programming developed by André Martins. It is based on joint work with Noah Smith, Mário Figueiredo, Eric Xing, Pedro Aguiar.

Changes:

This version introduces a number of new features:

  • The parser does not depend anymore on CPLEX (or any other non-free LP solver). Instead, the decoder is now based on AD3, our free library for approximate MAP inference.

  • The parser now outputs dependency labels along with the backbone structure.

  • As a bonus, we now provide a trainable part-of-speech tagger, called TurboTagger, which can be used in standalone mode, or to provide part-of-speech tags as input for the parser. TurboTagger has state-of-the-art accuracy for English (97.3% on section 23 of the Penn Treebank) and is fast (~40,000 tokens per second).

  • The parser is much faster than in previous versions. You may choose among a basic arc-factored parser (~4,300 tokens per second), a standard second-order model with consecutive sibling and grandparent features (the default; ~1,200 tokens per second), and a full model with head bigram and arbitrary sibling features (~900 tokens per second).

Note: The runtimes above are approximate, and based on experiments with a desktop machine with a Intel Core i7 CPU 3.4 GHz and 8GB RAM. To run this software, you need a standard C++ compiler. This software has the following external dependencies: AD3, a library for approximate MAP inference; Eigen, a template library for linear algebra; google-glog, a library for logging; gflags, a library for commandline flag processing. All these libraries are free software and are provided as tarballs in this package.

This software has been tested on Linux, but it should run in other platforms with minor adaptations.


Logo r-cran-rminer 1.3

by r-cran-robot - October 9, 2012, 00:00:00 CET [ Project Homepage BibTeX Download ] 7401 views, 1437 downloads, 0 subscriptions

About: Simpler use of data mining methods (e.g. NN and SVM) in classification and regression.

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:08.226306


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 ] 7045 views, 1928 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 MDP Modular toolkit for Data Processing 3.3

by otizonaizit - October 4, 2012, 15:17:33 CET [ Project Homepage BibTeX Download ] 30810 views, 7023 downloads, 1 subscription

Rating Whole StarWhole StarWhole StarWhole Star1/2 Star
(based on 3 votes)

About: MDP is a Python library of widely used data processing algorithms that can be combined according to a pipeline analogy to build more complex data processing software. The base of available algorithms includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data pre-processing methods, and many others.

Changes:

What's new in version 3.3?

  • support sklearn versions up to 0.12
  • cleanly support reload
  • fail gracefully if pp server does not start
  • several bug-fixes and improvements

Logo r-cran-GMMBoost 1.0.3

by r-cran-robot - September 27, 2012, 00:00:00 CET [ Project Homepage BibTeX Download ] 8778 views, 1658 downloads, 0 subscriptions

About: Likelihood-based Boosting for Generalized mixed models

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:05.366545


Showing Items 101-120 of 236 on page 6 of 12: Previous 1 2 3 4 5 6 7 8 9 10 11 Next Last