About: Cox models by likelihood based boosting for a single survival endpoint or competing risks Changes:Fetched by rcranrobot on 20161201 00:00:05.209609

About: Wrapper Algorithm for All Relevant Feature Selection Changes:Fetched by rcranrobot on 20161201 00:00:04.099756

About: Classification and Regression Training Changes:Fetched by rcranrobot on 20161201 00:00:04.303959

About: Toolkit for parametric and nonparametric regression and classification. Changes:Initial Announcement on mloss.org.

About: Novel R toolbox for collaborative filtering recommender systems. Changes:Initial Announcement on mloss.org.

About: Gradient Boosting Changes:Fetched by rcranrobot on 20161201 00:00:04.167277

About: Learning Discrete Bayesian Network Classifiers from Data Changes:Fetched by rcranrobot on 20160501 00:00:04.546512

About: Bayesian Additive Regression Trees Changes:Fetched by rcranrobot on 20161201 00:00:03.905199

About: Data Sets, Functions and Examples from the Book Changes:Fetched by rcranrobot on 20161201 00:00:05.400956

About: Recur is a collection of Gstreamer plugins and language modelling tools based on recurrent neural networks. Changes:Initial Announcement on mloss.org.

About: Mulan is an opensource Java library for learning from multilabel datasets. Multilabel datasets consist of training examples of a target function that has multiple binary target variables. This means that each item of a multilabel 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
Measures/Evaluation
Bug fixes
API changes
Miscalleneous

About: Generalized Ridge Regression (with special advantage for p >> n cases) Changes:Fetched by rcranrobot on 20161201 00:00:03.972960

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 bidirectional interaction with WEKA, the Waikato Environment for Knowledge Analysis, and it is released under the GNU GPL license. Changes:New version November 2013

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 2.8.0NEW FEATURES
CHANGES IN VERSION 2.4.0
CHANGES IN VERSION 2.3.1NEW FEATURES
2.0.0:
1.4.0:

About: Generalized linear and additive models by likelihood based boosting Changes:Fetched by rcranrobot on 20130401 00:00:04.893311

About: Feedforward Neural Networks and Multinomial LogLinear Models Changes:Fetched by rcranrobot on 20130401 00:00:06.544403

About: Graphical user interface for data mining in R Changes:Fetched by rcranrobot on 20130401 00:00:07.700426

About: Heteroscedastic Discriminant Analysis Changes:Fetched by rcranrobot on 20130401 00:00:05.551691

About: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model Changes:Fetched by rcranrobot on 20130401 00:00:05.305206

About: Generalized Boosted Regression Models Changes:Fetched by rcranrobot on 20130401 00:00:05.019963
