About: Genetic Algorithm for Curve Fitting

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

About: Jubatus is a general framework library for online and distributed machine learning. It currently supports classification, regression, clustering, recommendation, nearest neighbors, anomaly detection, and graph analysis. Loose model sharing provides higher scalability, better performance, and real-time capabilities, by combining online learning with distributed computations.

0.5.0 add new supports for clustering and nearest neighbors. For more detail, see http://t.co/flMcTcYZVs

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: OLL is a library supporting several for online-learning algorithms, which provides C++ library, and stand-alone programs for learning, predicting. OLL is specialized for large-scale, but sparse, [...]

Initial Announcement on mloss.org.

About: Likelihood-based Boosting for Generalized mixed models

Fetched by r-cran-robot on 2013-04-01 00:00:05.366545

About: Stochastic neighbor embedding originally aims at the reconstruction of given distance relations in a low-dimensional Euclidean space. This can be regarded as general approach to multi-dimensional scaling, but the reconstruction is based on the definition of input (and output) neighborhood probability alone. The present implementation also allows for handling dissimilarity or score-induced neighborhood topologies and makes use of quasi 2nd order gradient-based (l-)BFGS optimization.

• gradient in xsne_fun.m fixed! (constant factor m was missing)

• symmetry option re-introduced allowing for enabling symmetric and asymmetric versions of SNE and t-SNE

About: Shrinkage Discriminant Analysis and CAT Score Variable Selection

Fetched by r-cran-robot on 2012-02-01 00:00:11.559491

About: BSVM solves support vector machines (SVM) for the solution of large classification and regression problems. It includes three methods

Initial Announcement on mloss.org.

About: We provide some preliminary code for multiclass multiple kernel learning in Matlab using CPLEX as a base solver.

Initial Announcement on mloss.org.

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: a dbms for resonating neural networks. Create and use different types of machine learning algorithms.

AIML compatible (AIML files can be imported); new 'Grid channel' for developing board games; improved topics editor; new demo project: ALice (from AIML); lots of bug-fixes and speed improvements

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

Sequin v1.1.0.0 released

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: A library for artificial neural networks.

Added algorithms:

• L-BFGS optimizer
• k-means
• sparse auto-encoder
• preprocessing: normalization, PCA, ZCA whitening

About: Correlative Matrix Mapping (CMM) provides a supervised linear data mapping into a Euclidean subspace of given dimension. Applications include denoising, visualization, label-specific data preprocessing, and assessment of data attribute pairs relevant for the supervised mapping. Solving auto-association problems yields linear multidimensional scaling, similar to PCA, but usually with more faithful low-dimensional mappings.

Tue Jul 5 14:40:03 CEST 2011 - Bugfixes and cleanups

• single precision data affected pinv(). Now fairer using double precision.
• early stopping did not work properly; now fixed
• Hessian update mode globally controlled via hessmode, 'lbfgs' / 'bfgs'
• distmat.m corrected for rounding problems and extended to distmat(X,Y)
• replaced files: corv.m + corvgrad.m -> corvg.m
• removed unused files: corrmat.m, splitdata.m, traforankapply.m

About: The High-Dimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifier for high-dimensional data. This classifier is based on a mixture of Gaussian models adapted for [...]

Initial Announcement on mloss.org.

About: This package contains an implementation of the Infinite Kernel Learning (IKL) algorithm and the SimpleMKL algorithm. This is realized by building on Coin-Ipopt-3.3.5 and Libsvm.

Initial Announcement on mloss.org.

About: Analytic engine for real-time large-scale streams containing structured and unstructured data.

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