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Navigation: Home
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\ Components & Libraries \ Mallet for Windows
Mallet for Windows2.0.7 by Andrew McCallum |
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Software Description:
MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.MALLET includes sophisticated tools for document classification: efficient routines for converting text to "features", a wide variety of algorithms (including Naïve Bayes, Maximum Entropy, and Decision Trees). ...
type: Freeware
Download Mallet for Windowscategories: Java package, document classification, extract information, classification, document, tag Add to Download Basket Report virus or spyware |
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| Software Info | |
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Best Vista Download periodically updates pricing and software information of Mallet for Windows full version from the publisher,
but some information may be out-of-date. You should confirm all information. Software piracy is theft, using crack, warez passwords, patches, serial numbers, registration codes, key generator, keymaker or keygen for Mallet for Windows license key is illegal and prevent future development of Mallet for Windows. Download links are directly from our mirrors or publisher's website, Mallet for Windows torrent files or shared files from rapidshare, yousendit or megaupload are not allowed! |
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| Released: | March 03, 2012 |
| Filesize: | 13.00 MB |
| Platform: | Windows XP, Windows Vista, Windows 7 |
| Install | Instal And Uninstall |
| Add Your Review or Windows Vista Compatibility Report |
Mallet for Windows- Releases History |
| Software: | Mallet for Windows 2.0.7 |
| Date Released: | Mar 3, 2012 |
| Status: | New Release |
| Release Notes: | * Fixed a bug in the Generalized Expectation (GE) implementation for MaxEnt models. The old code could give low accuracy when using a small number of constraints. See the note at the top of this page for more information: http://mallet.cs.umass.edu/ge-classification.php * Fixed a bug in SVMLight2Vectors that could result in different Alphabets when importing multiple files at once. * Fixed a bug in SVMLight2Classify that allowed previously unobserved features to be added to the data Alphabet, possibly resulting in mismatching Classifier and InstanceList Alphabets. * Fixed bugs in the search direction computation in ConjugateGradient. * Added support for cross-validation in Vectors2Classify (in addition to random subsamples of the data set). * Added support for importing SVMLight data with Alphabets for which growth is stopped. * Added new options to Optimizers: it is now possible to set the convergence tolerance for GradientAscent, and set the LineOptimizer for LimitedMemoryBFGS |
Most popular metrics in Components & Libraries downloads for Vista |
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... hash algorithm. ->Digitially Signed PDF ->Transparency ->Transformation ->Font metrics access ->Full Unicode support ->14 Standard PDF Fonts (Built-in) ->Local font files ->TrueType Fonts ->TrueType Fonts from System.Drawing.Font ->Type1 Fonts. ->Chinese, ...
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categories: pdf .NET, pdf source code, .net pdf library, .NET pdf component, pdf ASP.NET, pdf library ASP.NET, pdf component ASP.NET |
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... Widgets can gauge any data staring from simple metrics such as weather, speed, duration, temperature, etc. and ... total sales, airplane horizon or altitude display, SCADA metrics, etc. In other words they can be used ...
type: Shareware ($199.00)
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categories: windows 8 gauges, windows 8 widgets, windows 8 thermometer, windows 8 tank, windows 8 LED, windows 8 digit, windows 8 knob, windows 8 odometer, WinRT gauges, WinRT widgets, WinRT thermometer, WinRT tank, WinRT LED, WinRT digit |
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Mallet for Windows 2.0.7 download by Andrew McCallum
... for evaluating classifier performance using several commonly used metrics. In addition to classification, MALLET includes tools for sequence tagging for applications such as named-entity extraction from text. Algorithms include ...
type: Freeware
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categories: Java package, document classification, extract information, classification, document, tag |
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