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Machine learning, natural language processing, artificial intelligence, text analysis, information retrieval, search, data mining, statistical modeling, and data ...
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Where data geeks ask and answer questions on machine learning, natural language processing, artificial intelligence, text analysis, information retrieval, search, ...
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Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.
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Collaborative organization for open source projects related to natural language processing. Lists ongoing projects and documents proposed standard Java and XML APIs.
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In addition to classification, MALLET includes tools for sequence tagging for ... MALLET: A Machine Learning for Language Toolkit." http://mallet.cs.umass.edu. 2002. ...
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Just got back from Israel for ICML, which was a great experience: I'd ... The usual caveats apply (I didn't see everything it's a biased sample, blah blah ...
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... releases is from the SourceForge MinorThird project page. ... using Heuristics for Inducing Regularities from Data, http://minorthird.sourceforge.net, 2004. ...
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The machine learning toolbox's focus is on large scale kernel methods and ... The toolbox not only provides efficient implementations of the most common ...
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How moreofit Searches
Each website has a unique tag signature -- a set of words
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1: Similarity
A site's "similarity" is determined by how well its tag signature matches the tag
signature that is being searched for. A 100% match means that it has the exact same
tags in the exact same order, while a 0% match means it has no tags in common.
2: Popularity
The popularity of a website is, well, pretty much self explanatory.
3: Tag Signature
The tag signatures show how a site is described. The deeper the color of the tag,
the more frequently the website is tagged as this. Tags underlined blue denote a tag
that is in common with the search's tag signature.
