About: MOSIS is a modularized framework for signal processing, stream analysis, machine learning and stream mining applications.

• Move "flow"-related classes into package "de.claas.mosis.flow" (e.g. Node and Link).
• Refined and improved "flow"-related tests (e.g. Iterator and Node tests).
• Refactored tests for data formats (e.g. PlainText and JSON tests).
• Added visitor design pattern for graph-based functions (e.g. initialization and processing).
• Documented parameters of Processor implementations.

About: ITE (Information Theoretical Estimators) is capable of estimating many different variants of entropy, mutual information, divergence, association measures, cross quantities and kernels on distributions. Thanks to its highly modular design, ITE supports additionally (i) the combinations of the estimation techniques, (ii) the easy construction and embedding of novel information theoretical estimators, and (iii) their immediate application in information theoretical optimization problems.

• Shannon entropy and cross-entropy estimation based on maximum likelihood estimation + analytical formula in the chosen exponential family: added.

• Quick tests: updated with the new estimators.

About: HierLearning is a C++11 implementation of a general-purpose, multi-agent, hierarchical reinforcement learning system for sequential decision problems.

Initial Announcement on mloss.org.

About: Cox models by likelihood based boosting for a single survival endpoint or competing risks

Fetched by r-cran-robot on 2014-03-01 00:00:05.044534

About: A wrapper algorithm for all-relevant feature selection

Fetched by r-cran-robot on 2014-03-01 00:00:04.219409

About: Armadillo is a template C++ linear algebra library aiming towards a good balance between speed and ease of use, with a function syntax similar to MATLAB. Matrix decompositions are provided through optional integration with LAPACK, or one of its high performance drop-in replacements (eg. Intel MKL, OpenBLAS).

• added normalise() for normalising vectors to unit p-norm
• extended the field class to handle 3D layout
• extended eigs_sym() and eigs_gen() to obtain eigenvalues of various forms (eg. largest or smallest magnitude)
• automatic SIMD vectorisation of elementary expressions (eg. matrix addition) when using Clang 3.4+ with -O3 optimisation
• faster handling of sparse submatrix views
• workaround for a bug in LAPACK 3.4

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.

• adapted dependencies and linking to Rcpp version 0.11.0
• cleared up package dependencies

About: Mining Association Rules and Frequent Itemsets

Fetched by r-cran-robot on 2014-03-01 00:00:03.710324

About: Open Source Machine Learning Server

• Bug fixes
• Restrict recommended items using item start and end time
• Add MongoDB sharding configuration
• Support cron based scheduling
• Change default algo to Log-likelihood

About: DAL is an efficient and flexibible MATLAB toolbox for sparse/low-rank learning/reconstruction based on the dual augmented Lagrangian method.

• Supports weighted lasso (dalsqal1.m, dallral1.m)
• Supports weighted squared loss (dalwl1.m)
• Bug fixes (group lasso and elastic-net-regularized logistic regression)