About: Message passing for topic modeling

1. improve "readme.pdf".
2. correct some compilation errors.

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.

Spectrum LSTM package included

About: HSSVM is a software for solving multi-class problem using Hyper-sphere Support Vector Machines model, implemented by Java.

1. From this version, the version number is normalized to hssvm1.0.1;
2. In this version, we delete the features about running parameter searching and run-all from Ant script, that is, commands "ant search-param" and "ant run-all" which exist in previous version are no longer available, and they are replaced with commands "svm search conf" and "svm runall conf", both of them are used on Linux(or all other POSIX systems).If you want to use this program on Windows, the cygwin is required to be installed.

About: Matlab Multiple Kernel Learning toolbox. Features : MKL for SVM Classification, Regression and MultiClass. It needs SVM-KM Toolbox

Initial Announcement on mloss.org.

About: RapidMiner (formerly YALE) is one of the most widely used open-source data mining suites and software solutions due to its leading-edge technologies and its functional range. Applications of [...]

Initial Announcement on mloss.org.

About: The apcluster package implements Frey's and Dueck's Affinity Propagation clustering in R. The package further provides leveraged affinity propagation, exemplar-based agglomerative clustering, and various tools for visual analysis of clustering results.

• re-implementation of heatmap() method: dendrograms can now be plotted even for APResult and ExClust objects as well as for cluster hierarchies based on prior clusterings; color bars can now be switched off and colors can be changed by user (by new 'sideColor' argument); dendrograms can be switched on and off (by 'Rowv' and 'Colv' arguments);
• added as.hclust() and as.dendrogram() methods
• added new arguments 'base', 'showSamples', and 'horiz' to the plot() method with signature (x="AggExResult", y="missing"); moreover, parameters for changing the appearance of the height axis are now respected as well
• streamlining of methods (redundant definition of inherited methods removed)
• various minor improvements of code and documentation

About: The Rchemcpp package implements the marginalized graph kernel and extensions, Tanimoto kernels, graph kernels, pharmacophore and 3D kernels suggested for measuring the similarity of molecules.

Improved documentation and data handling.