RSS Feed - Blog
About: Big Random Forests Changes:Fetched by r-cran-robot on 2013-05-01 00:00:04.813177
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About: C5.0 Decision Trees and Rule-Based Models Changes:Fetched by r-cran-robot on 2013-05-01 00:00:05.218681
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About: peewit provides services for programming, running and result examination of machine learning experiments. It does not include any ML algorithms, has no GUI, and presumes certain uniformity of the experimental layout. But it does not make assumptions on the type of task under study. Changes:switched to python-3
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About: Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. Changes:Release 1.1.2
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About: CORElearn - classification, regression, feature evaluation and ordinal evaluation Changes:Fetched by r-cran-robot on 2013-05-01 00:00:05.454660
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About: a dbms for resonating neural networks. Create and use different types of machine learning algorithms. Changes: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
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About: A Tool for Embedding Strings in Vector Spaces Changes:Support for positional n-grams with shift (similar to weighted-degree kernel with shift) has been added. Several minor bugs have been fixed.
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About: An open source Java software providing collaborative filtering algorithms. Changes:Initial Announcement on mloss.org.
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About: R version of GENetic Optimization Using Derivatives Changes:Fetched by r-cran-robot on 2013-04-01 00:00:08.101900
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About: Oblique Trees for Classification Data Changes:Fetched by r-cran-robot on 2013-04-01 00:00:06.648184
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About: This local and parallel computation toolbox is the Octave and Matlab implementation of several localized Gaussian process regression methods: the domain decomposition method (Park et al., 2011, DDM), partial independent conditional (Snelson and Ghahramani, 2007, PIC), localized probabilistic regression (Urtasun and Darrell, 2008, LPR), and bagging for Gaussian process regression (Chen and Ren, 2009, BGP). Most of the localized regression methods can be applied for general machine learning problems although DDM is only applicable for spatial datasets. In addition, the GPLP provides two parallel computation versions of the domain decomposition method. The easiness of being parallelized is one of the advantages of the localized regression, and the two parallel implementations will provide a good guidance about how to materialize this advantage as software. Changes:Initial Announcement on mloss.org.
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About: Rule- and Instance-Based Regression Modeling Changes:Fetched by r-cran-robot on 2011-08-28 08:16:03.375532
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About: Tools to convert datasets from various formats to various formats, performance measures and API functions to communicate with mldata.org Changes:
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About: KReator is an integrated development environment (IDE) for relational probabilistic knowledge representation languages. At the moment, KReator supports Bayesian Logic Programs (BLPs), Markov Logic Networks (MLNs), Relational Maximum Entropy (RME), Relational Bayesian Networks (RBN), and Probabilistic Prolog (ProbLog). Changes:
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About: The library is focused on implementation of propagation based approximate inference methods. Also implemented are a clique tree based exact inference, Gibbs sampling, and the mean field algorithm. Changes:Initial Announcement on mloss.org.
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About: GIDOC (Gimp-based Interactive transcription of old text DOCuments) is a computer-assisted transcription prototype for handwritten text in old documents. It is a first attempt to provide integrated support for interactive-predictive page layout analysis, text line detection and handwritten text transcription. GIDOC is built on top of the well-known GNU Image Manipulation Program (GIMP), and uses standard techniques and tools for handwritten text preprocessing and feature extraction, HMM-based image modelling, and language modelling. Changes:Updated version for mloss 2010
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About: JOP is a Java virtual machine implemented in hardware. It is a hard real-time open source multicore processor capable of worst case execution time analysis of Java code. Changes:Initial Announcement on mloss.org.
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About: Pynopticon is a toolbox that allows you to create and train your own object recognition classifiers. It makes rapid prototyping of object recognition work flows a snap. Simply create a dataset of [...] Changes:Initial Announcement on mloss.org.
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About: The Chestnut Machine Learning Library is a suite of machine learning algorithms written in Python with some code written in C for efficiency. Most algorithms are called with a simple, functional API [...] Changes:Initial Announcement on mloss.org.
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About: You can use the software in this package to efficiently sample from Changes:Initial Announcement on mloss.org.
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