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We found 60 Resources matching machine-learning

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  • ISWC 2012 Tutorial - Machine Learning on Linked Data: Tensors and their Applications in Graph-Structured Domains This tutorial will provide an introduction to tensor factorizations and their applications for machine learning on graphs. Maximilian Nickel
  • Algorithms for Massive Data Sets

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    Added by gromgull on 2012-11-28 16:21:46.0


    Algorithms for Massive Data Sets Homepage for Algorithms for Massive Data Sets at DTU Informatics
  • Factorie

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    Added by gromgull on 2012-10-31 10:44:58.0


    Factorie FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.
  • Pattern | CLiPS

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    Added by gromgull on 2012-07-15 09:30:58.0


    Pattern | CLiPS Pattern is a web mining module for the Python programming language. It bundles tools for data retrieval (Google + Twitter + Wikipedia API, web spider, HTML DOM parser), text analysis (rule-based shallow parser, WordNet interface, syntactical + semantical n-gram search algorithm, tf-idf + cosine similarity + LSA metrics), clustering and classification (k-means, KNN, SVM), and data visualization (graph networks).
  • HEigen

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    Added by gromgull on 2012-02-22 17:20:55.0


    HEigen HEigen is a spectral analysis tool which computes top k eigenvalues and corresponding eigenvectors of extremely large(~billions of nodes and edges) graphs. HEigen runs on top of Hadoop platform.


  • Why Apache Giraph is more than a graph processing system | “I for one welcome our new computer overlords” The Apache Giraph project is a fault-tolerant in-memory distributed graph processing system which runs on top of a standard Hadoop installation.
  • GraphLab: A New Parallel Framework for Machine Learning

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    Added by gromgull on 2012-02-22 17:10:08.0


    GraphLab: A New Parallel Framework for Machine Learning GraphLab: A Parallel Framework for Machine Learning
  • GPU and Large Scale Data Mining « Azinta Systems Blog

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    Added by gromgull on 2012-02-22 17:06:13.0


    GPU and Large Scale Data Mining « Azinta Systems Blog
  • PEGASUS: Peta-Scale Graph Mining System

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    Added by gromgull on 2012-02-13 11:17:09.0


    PEGASUS: Peta-Scale Graph Mining System Pegasus An award-winning, open-source, graph-mining system with massive scalability. Analyze petabytes of graph data with ease.
  • Infer.NET

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    Added by benbanbun on 2012-01-24 22:42:16.0


    Infer.NET Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. You can use Infer.NET to solve many different kinds of machine learning problems, from standard problems like classification or clustering through to customised solutions to domain-specific problems. Infer.NET has been used in a wide variety of domains including information retrieval, bioinformatics, epidemiology, vision, and many others.
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