About: Universal Python-written numerical optimization toolbox. Problems: NLP, LP, QP, NSP, MILP, LSP, LLSP, MMP, GLP, SLE, MOP etc; general logical constraints, categorical variables, automatic differentiation, stochastic programming, interval analysis, many other goodies

http://openopt.org/Changelog

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: 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: Classification and Regression Training

Fetched by r-cran-robot on 2014-04-01 00:00:04.596559

About: Mining Association Rules and Frequent Itemsets

Fetched by r-cran-robot on 2014-04-01 00:00:04.046616

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: 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)