About: Improved Predictors Changes:Fetched by rcranrobot on 20100812 12:52:47.706728

About: Multivariate Adaptive Regression Spline Models Changes:Fetched by rcranrobot on 20100812 12:52:46.965898

About: Classification and Regression Training Changes:Fetched by rcranrobot on 20100812 12:52:46.376590

About: The DLLearner framework contains several algorithms for supervised concept learning in Description Logics (DLs) and OWL. Changes:See http://dllearner.org/wiki/ChangeLog.

About: The Weka workbench contains a collection of visualization tools and algorithms for data analysis and predictive modelling, together with graphical user interfaces for easy access to this […] Changes:Initial Announcement on mloss.org.

About: The Libra machine learning toolkit includes implementations of a variety of algorithms for learning and inference with Bayesian networks, Markov networks, and arithmetic circuits. Libra’s strength is exploiting contextspecific independence to allow exact inference in models with high treewidth. Changes:Version 0.3.0 (8/01/2010):

About: PSVM – Support vector classification, regression and feature extraction for nonsquare dyadic data, nonMercer kernels. Changes:Initial Announcement on mloss.org.

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. A bicluster in a transcriptomic data set is a pair of a gene set and a sample set for which the genes are similar to each other on the samples and vice versa. If multiple pathways are active in a sample, it belongs to different biclusters. If a gene participates in different pathways for different conditions, it belongs to different biclusters, too. Thus, biclusters can overlap. In drug design, for example, researchers want to reveal how compounds affect gene expression; the effects of compounds, however, may be similar only on a subgroup of genes. Changes:Initial Announcement on mloss.org.

About: Implementation of LSTM for biological sequence analysis (classification, regression, motif discovery, remote homology detection). Additionally a LSTM as logistic regression with spectrum kernel is included. Changes:Spectrum LSTM package included

About: The apcluster package implements Frey’s and Dueck’s Affinity Propagation clustering in R. The algorithms are analogous to the Matlab code published by Frey and Dueck. Changes:Initial Announcement on mloss.org.
