About: Obsolete. Use https://mloss.org/software/view/240/ instead.

0.6 release

About: This code is provided by Jun Wan. It is used in the Chalearn one-shot learning gesture challenge (round 2). This code includes: bag of features, 3D MoSIFT-based features (i.e. 3D MoSIFT, 3D EMoSIFT and 3D SMoSIFT), and the MFSK feature.

Initial Announcement on mloss.org.

About: Document/Text preprocessing for topic models: suite of Perl scripts for preprocessing text collections to create dictionaries and bag/list files for use by topic modelling software.

Moved distribution and code across to GitHub. Changed "ldac" format to have 0 offset for word indices. Added "document frequency" (df) filtering on selection of tokens for linkTables. Playing with linkParse but its still unuseable generally.

About: The K-tree is a scalable approach to clustering inspired by the B+-tree and k-means algorithms.

Release of K-tree implementation in Python. This is targeted at a research and rapid prototyping audience.

About: The goal of this project is to provide code for reading and writing machine learning data sets for as many programming languages as possible.

Forgot to include the Java sources.

About: GradMC is an algorithm for MR motion artifact removal implemented in Matlab

Added support for multi-rigid motion correction.

About: 3-layer neural network for regression with sigmoid activation function and command line interface similar to LibSVM.

Initial Announcement on mloss.org.

About: A Matlab implementation of Sparse PCA using the inverse power method for nonlinear eigenproblems.

• Added deflation scheme to compute multiple principal components
• Several internal runtime and memory optimizations
• API change: sparsePCA.m is now used to compute multiple components; use computeTradeOffCurve.m to reproduce the examples in the NIPS paper

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: An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.

New maximum cluster argument for all algorithms. Also no more matlab interface since it seemed no one was using it, and I cannot support it any longer.

About: Fitting user specified models with Group Lasso penalty

Fetched by r-cran-robot on 2013-04-01 00:00:05.428021

About: Easily prototype WEKA classifiers and filters using Python scripts.

0.3.0

• Filters have now been implemented.
• Classifier and filter classes satisfy base unit tests.

0.2.1

• Can now choose to save the script in the model using the -save flag.

0.2.0

• Added Python 3 support.
• Added uses decorator to prevent non-essential arguments from being passed.
• Fixed nasty bug where imputation, binarisation, and standardisation would not actually be applied to test instances.
• GUI in WEKA now displays the exception as well.
• Fixed bug where single quotes in attribute values could mess up args creation.
• ArffToPickle now recognises class index option and arguments.
• Fix nasty bug where filters were not being saved and were made from scratch from test data.

0.1.1

• ArffToArgs gets temporary folder in a platform-independent way, instead of assuming /tmp/.
• Can now save args in ArffToPickle using save.

0.1.0

• Initial release.

About: Visualizing the performance of scoring classifiers.

Fetched by r-cran-robot on 2013-04-01 00:00:08.344833

About: PLearn is a large C++ machine-learning library with a set of Python tools and Python bindings. It is mostly a research platform for developing novel algorithms, and is being used extensively at [...]

Initial Announcement on mloss.org.

About: Genetic Algorithm for Curve Fitting

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

About: A Toolkit for Recursive Partytioning

Fetched by r-cran-robot on 2013-04-01 00:00:06.838561

About: Incremental (Online) Nonparametric Classifier. You can classify both points (standard) or matrices (multivariate time series). Java and Matlab code already available.

version 2: parameterless system, constant model size, prediction confidence (for active learning).

NEW!! C++ version at: https://github.com/ilaria-gori/ABACOC

About: The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be [...]

Initial Announcement on mloss.org.

About: hapFabia is an R package for identification of very short segments of identity by descent (IBD) characterized by rare variants in large sequencing data. It detects 100 times smaller segments than previous methods.

o citation update

o plot function improved