About: NaNtoolbox is a statistics and machine learning toolbox for handling data with and without missing values. Changes:Changes in v.2.5.2  faster version of quantile if multiple quantiles are requested  removes the dependency on ZLIB and thus  fixes "pkg install nan" for Octave on Windows  a number of minor improvements For details see the CHANGELOG at http://pub.ist.ac.at/~schloegl/matlab/NaN/CHANGELOG

About: Infrastructure for representing, manipulating and analyzing transaction data and frequent patterns. Changes:Initial Announcement on mloss.org.

About: Trees WIth eXtra splits Changes:Fetched by rcranrobot on 20120201 00:00:12.077735

About: svmpath Changes:Fetched by rcranrobot on 20120201 00:00:11.755984

About: Shrinkage Discriminant Analysis and CAT Score Variable Selection Changes:Fetched by rcranrobot on 20120201 00:00:11.559491

About: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS) Changes:Fetched by rcranrobot on 20120201 00:00:11.194183

About: R/Weka interface Changes:Fetched by rcranrobot on 20120201 00:00:11.330277

About: A Matlab implementation of Sparse PCA using the inverse power method for nonlinear eigenproblems. Changes:Initial Announcement on mloss.org.

About: Python module to ease pattern classification analyses of large datasets. It provides highlevel abstraction of typical processing steps (e.g. data preparation, classification, feature selection, [...] Changes:
This release aggregates all the changes occurred between official
releases in 0.4 series and various snapshot releases (in 0.5 and 0.6
series). To get better overview of high level changes see
:ref:
Also adapts changes from 0.4.6 and 0.4.7 (see corresponding changelogs).
This is a special release, because it has never seen the general public.
A summary of fundamental changes introduced in this development version
can be seen in the :ref: Most notably, this version was to first to come with a comprehensive twoday workshop/tutorial.
A bugfix release
A bugfix release

About: Bayesian treed Gaussian process models Changes:Fetched by rcranrobot on 20120201 00:00:11.834310

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

About: Boosting Methods for GAMLSS Models Changes:Fetched by rcranrobot on 20130401 00:00:04.956804

About: A python implementation of Breiman's Random Forests. Changes:Initial Announcement on mloss.org.

About: Survival forests: Random Forests variant for survival analysis. Original implementation by Leo Breiman. Changes:Initial Announcement on mloss.org.

About: Regression forests, Random Forests for regression. Original implementation by Leo Breiman. Changes:Initial Announcement on mloss.org.

About: The original Random Forests implementation by Breiman and Cutler. Changes:Initial Announcement on mloss.org.

About: A decision tree learner that is designed to be reasonably fast, but the primary goal is ease of use Changes:Initial Announcement on mloss.org.

About: Logic Forest Changes:Fetched by rcranrobot on 20130401 00:00:06.077571

About: The Maja Machine Learning Framework (MMLF) is a general framework for problems in the domain of Reinforcement Learning (RL) written in python. It provides a set of RL related algorithms and a set of benchmark domains. Furthermore it is easily extensible and allows to automate benchmarking of different agents. Changes:

About: Oblique Random Forests from Recursive Linear Model Splits Changes:Fetched by rcranrobot on 20120801 00:00:07.607823
