About: This software is aimed at performing supervised/unsupervised learning on graph data, where each graph is represented as binary indicators of subgraph features.

Initial Announcement on mloss.org.

About: TinyOS is a small operating for small (wireless) sensors. LEGO MINDSTORMS NXT is a platform for embedded systems experimentation: The combination of NXT and TinyOS is NXTMOTE.

Initial Announcement on mloss.org.

About: C-MixSim is an open source package written in C for simulating finite mixture models with Gaussian components. With a vast number of clustering algorithms, evaluating performance is important. C-MixSim provides an easy and convenient way of generating datasets from Gaussian mixture models with different levels of clustering complexity. C-MixSim is released under the GNU GPL license.

Initial Announcement on mloss.org.

About: Regularization paths for SCAD- and MCP-penalized regression models

Fetched by r-cran-robot on 2013-04-01 00:00:06.449164

About: OpenCog aims to provide research scientists and software developers with a common platform to build and share artificial intelligence programs. The long-term goal of OpenCog is acceleration of the [...]

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.

Spectrum LSTM package included

About: General purpose Java Machine Learning library for classification, regression, and clustering.

See github release tab for change info

About: RLPy is a framework for performing reinforcement learning (RL) experiments in Python. RLPy provides a large library of agent and domain components, and a suite of tools to aid in experiments (parallelization, hyperparameter optimization, code profiling, and plotting).

• Fixed bug where results using same random seed were different with visualization turned on/off
• Created RLPy package on pypi (Available at https://pypi.python.org/pypi/rlpy)
• Switched from custom logger class to python default
• Added unit tests
• Code readability improvements (formatting, variable names/ordering)
• Restructured TD Learning heirarchy
• Updated tutorials

About: Genetic Algorithm for Curve Fitting

Fetched by r-cran-robot on 2012-10-01 00:00:04.684941

About: Investigation of dependencies between multiple data sources allows the discovery of regularities and interactions that are not seen in individual data sets. The demand for such methods is increasing with the availability and size of co-occurring observations in computational biology, open data initiatives, and in other domains. We provide practical, open access implementations of general-purpose algorithms that help to realize the full potential of these information sources.

Three independent modules (drCCA, pint, MultiWayCCA) have been added.

About: Monte (python) is a small machine learning library written in pure Python. The focus is on gradient based learning, in particular on the construction of complex models from many smaller components.

Initial Announcement on mloss.org.

About: pycobra is a python library for ensemble learning, which serves as a toolkit for regression, classification, and visualisation. It is scikit-learn compatible and fits into the existing scikit-learn ecosystem.

pycobra is further pep8 compliant, has improved tests and more plotting options.

About: SenseClusters is a package of (mostly) Perl programs that allows a user to cluster similar contexts together using unsupervised knowledge-lean methods. These techniques have been applied to word [...]

Initial Announcement on mloss.org.

About: SeqAn is an open source C++ library of efficient algorithms and data structures for the analysis of sequences with the focus on biological data.

• 5 more applications, i.e. DFI, MicroRazerS, PairAlign, SeqCons, TreeRecon
• stable release of RazerS supporting paired-end read mapping and configurable sensitivity
• new alignment algorithms, e.g. banded, configurable alignments (overlap, semi-global, ...)
• realignment algorithm
• NGS data structures and formats, e.g. SAM, Amos, ...
• new alphabets, e.g. Dna with base call qualities, profile characters
• auxiliary data structures and algorithms, e.g. double ended queue, command line parser
• positional scores
• CMake support

About: A desktop planetarium and sky map program which shows the sky from anywhere on Earth at any time.

Removed erroneous topocentric code. Increased maximum zoom for detail on planets.

About: This software package includes the ART algorithms for unsupervised learning only. It is a family of four programs based on different ART algorithms (ART 1, ART 2A, ART 2A-C and ART Distance). All of [...]

Initial Announcement on mloss.org.

About: Hubness-aware Machine Learning for High-dimensional Data

• BibTex support for all algorithm implementations, making all of them easy to reference (via algref package).

• Two more hubness-aware approaches (meta-metric-learning and feature construction)

• An implementation of Hit-Miss networks for analysis.

• Several minor bug fixes.

• The following instance selection methods were added: HMScore, Carving, Iterative Case Filtering, ENRBF.

• The following clustering quality indexes were added: Folkes-Mallows, Calinski-Harabasz, PBM, G+, Tau, Point-Biserial, Hubert's statistic, McClain-Rao, C-root-k.

• Some more experimental scripts have been included.

• Extensions in the estimation of hubness risk.

• Alias and weighted reservoir methods for weight-proportional random selection.

About: Multicore/distributed large scale machine learning framework.

Update version.

About: This package contains functions to estimate linear and nonlinear regression methods with Penalized Partial Least Squares.

• fixed several bugs
• drastic speed-up of computation time

About: Sequin is an open source sequence mining library written in C#.

Sequin v1.1.0.0 released