|
About: Lasso and elastic-net regularized generalized linear models Changes:Fetched by r-cran-robot on 2013-04-01 00:00:05.081872
|
|
About: machine learning library in java for easy development of new kernels Changes:Version 2.0.
Warning: all classes have migrated under the fr.lip6.jkernelmachines package, which breaks backward compatibility, but was necessary to keep the project going on sanely.
|
|
About: The open-source C-package fastICA implements the fastICA algorithm of Aapo Hyvarinen et al. (URL: http://www.cs.helsinki.fi/u/ahyvarin/) to perform Independent Component Analysis (ICA) and Projection Pursuit. fastICA is released under the GNU Public License (GPL). Changes:Initial Announcement on mloss.org.
|
|
About: The Advanced Data mining And Machine learning System (ADAMS) is a novel, flexible workflow engine aimed at quickly building and maintaining real-world, complex knowledge workflows. Changes:
|
|
About: libnabo is a fast K Nearset Neighbor library for low-dimensional spaces. Changes:
|
|
About: Heteroscedastic Discriminant Analysis Changes:Fetched by r-cran-robot on 2013-04-01 00:00:05.551691
|
|
About: C5.0 Decision Trees and Rule-Based Models Changes:Fetched by r-cran-robot on 2013-05-01 00:00:05.218681
|
|
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).
|
|
About: Classification and Regression Training Changes:Fetched by r-cran-robot on 2013-05-01 00:00:05.351338
|
|
About: Regularization paths for regression models with grouped covariates Changes:Fetched by r-cran-robot on 2013-04-01 00:00:05.489694
|
|
About: Model-Based Boosting Changes:Fetched by r-cran-robot on 2013-04-01 00:00:06.324985
|
|
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
|
|
About: The GPML toolbox is a flexible and generic Octave 3.2.x and Matlab 7.x implementation of inference and prediction in Gaussian Process (GP) models. Changes:We now support inference on large datasets using the FITC approximation for non-Gaussian likelihoods for EP and Laplace's approximation. New likelihood functions: mixture likelihood, Poisson likelihood, label noise. We added two MCMC samplers.
|
|
About: Generalized Boosted Regression Models Changes:Fetched by r-cran-robot on 2013-04-01 00:00:05.019963
|
|
About: A Laboratory for Recursive Partytioning Changes:Fetched by r-cran-robot on 2013-04-01 00:00:06.775432
|
|
About: CORElearn - classification, regression, feature evaluation and ordinal evaluation Changes:Fetched by r-cran-robot on 2013-05-01 00:00:05.454660
|
|
About: hapFabia is an R package for identification of very short segments of identity by descent (IBD) characterized by rare variants in large sequencing data. Changes:Initial Announcement on mloss.org.
|
|
About: C++ software for statistical classification, probability estimation and interpolation/non-linear regression using variable bandwidth kernel estimation. Changes:New in Version 0.9.6:
|
|
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
|
|
About: Bayesian Prediction with High-order Interactions Changes:Fetched by r-cran-robot on 2012-12-01 00:00:03.777292
|
