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About: Multicore/distributed large scale machine learning framework. Changes:Update version.
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About: Matlab code for performing variational inference in the Indian Buffet Process with a linear-Gaussian likelihood model. Changes:Initial Announcement on mloss.org.
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About: Regularization paths for regression models with grouped covariates Changes:Fetched by r-cran-robot on 2013-04-01 00:00:05.489694
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About: This is a Perl module that implements a variety of semantic similarity and relatedness measures based on information found in the lexical database WordNet. In particular, it supports the measures of [...] Changes:Initial Announcement on mloss.org.
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About: Java package implementing a kernel for (molecular) graphs based on iterative graph similarity and optimal assignments. Changes:Initial Announcement on mloss.org.
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About: The JINSECT toolkit is a Java-based toolkit and library that supports and demonstrates the use of n-gram graphs within Natural Language Processing applications, ranging from summarization and summary evaluation to text classi?cation and indexing. Changes:
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About: A comprehensive data mining environment, with a variety of machine learning components. Changes:Modifications following feedback from Knime main Author.
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About: CRFSuite is a speed-oriented implementation of Conditional Random Fields (CRFs). This software features: parameter estimation using SGD and L-BFGS, l1/l2 regularization, simple data I/O format, etc. Changes:Initial Announcement on mloss.org.
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About: dysii is a C++ library for distributed probabilistic inference and learning in large-scale dynamical systems. It provides methods such as the Kalman, unscented Kalman, and particle filters and [...] Changes:Initial Announcement on mloss.org.
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About: Data-efficient policy search framework using probabilistic Gaussian process models Changes:Initial Announcement on mloss.org.
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About: The mission of this project is to build and support a community interested in machine learning and machine intelligence based on modeling the neocortex and the principles upon which it works. Changes:Initial Announcement on mloss.org.
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About: EANT Without Structural Optimization is used to learn a policy in either complete or partially observable reinforcement learning domains of continuous state and action space. Changes:Initial Announcement on mloss.org.
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About: Likelihood-based Boosting for Generalized mixed models Changes:Fetched by r-cran-robot on 2013-04-01 00:00:05.366545
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About: BSVM solves support vector machines (SVM) for the solution of large classification and regression problems. It includes three methods Changes:Initial Announcement on mloss.org.
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About: AISAIC software for analyzing human DNA copy numbers and detecting significant copy number alterations Changes:Initial Announcement on mloss.org.
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About: Matlab implementation of variational gaussian approximate inference for Bayesian Generalized Linear Models. Changes:Code restructure and bug fix.
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About: Learns gradient boosted regression tree ensembles in parallel on shared memory or cluster systems Changes:Initial Announcement on mloss.org.
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About: *binsdfc* is a command line implementation of the algorithm described in [Endres,Oram,Schindelin,Foldiak:*Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms*, [...] Changes:Changed build system from automake to cmake. Moved download page to www.compsens.uni-tuebingen.de
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About: Bayesian Prediction with High-order Interactions Changes:Fetched by r-cran-robot on 2012-12-01 00:00:03.777292
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