Download JAR files tagged by probabilistic with all dependencies

confusion-matrix from group com.github.habernal (version 1.0)

Minimalistic implementation of a confusion matrix for evaluating learning algorithms, including accuracy, macro F-measure, Cohen's Kappa, and probabilistic confusion matrix

Group: com.github.habernal Artifact: confusion-matrix
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4 downloads

Artifact confusion-matrix
Group com.github.habernal
Version 1.0
Last update 12. August 2015
Organization not specified
URL https://github.com/habernal/confusion-matrix
License Apache License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
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berkeleyparser from group edu.berkeley.nlp (version r32)

The Berkeley parser analyzes the grammatical structure of natural language using probabilistic context-free grammars (PCFGs).

Group: edu.berkeley.nlp Artifact: berkeleyparser
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4 downloads

Artifact berkeleyparser
Group edu.berkeley.nlp
Version r32
Last update 27. March 2012
Organization not specified
URL http://code.google.com/p/berkeleyparser
License GNU General Public License Version 2
Dependencies amount 0
Dependencies No dependencies
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hyperminhash from group com.liveramp (version 0.2)

HyperMinHash is a probabilistic data structure that can approximate union, intersection, and set cardinalities as well as Jaccard indices of very large sets with high accuracy, in loglog space, and in a streaming fashion.

Group: com.liveramp Artifact: hyperminhash
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3 downloads

Artifact hyperminhash
Group com.liveramp
Version 0.2
Last update 16. February 2019
Organization LiveRamp
URL www.github.com/LiveRamp/HyperMinHash-java
License Apache 2
Dependencies amount 1
Dependencies commons-math3,
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probabilisticSignificanceAE from group nz.ac.waikato.cms.weka (version 1.0.2)

Evaluates the worth of an attribute by computing the Probabilistic Significance as a two-way function (attribute-classes and classes-attribute association). For more information see: Amir Ahmad, Lipika Dey (2004). A feature selection technique for classificatory analysis.

Group: nz.ac.waikato.cms.weka Artifact: probabilisticSignificanceAE
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0 downloads

Artifact probabilisticSignificanceAE
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/probabilisticSignificanceAE
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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randomhash from group edu.princeton.cs (version 1.1.1)

A simple, time-tested, family of random hash functions in Java, based on CRC32, affine transformations, and the Mersenne Twister, suitable for use in production probabilistic data streaming algorithms like HyperLogLog.

Group: edu.princeton.cs Artifact: randomhash
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Artifact randomhash
Group edu.princeton.cs
Version 1.1.1
Last update 29. June 2022
Organization not specified
URL https://github.com/jlumbroso/java-random-hash
License Lesser General Public License (LGPL), v3.0
Dependencies amount 0
Dependencies No dependencies
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factorie_2.11 from group cc.factorie (version 1.2)

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.

Group: cc.factorie Artifact: factorie_2.11
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Artifact factorie_2.11
Group cc.factorie
Version 1.2
Last update 07. April 2016
Organization University of Massachusetts, Amherst
URL http://factorie.cs.umass.edu
License Apache 2
Dependencies amount 11
Dependencies scala-library, scala-compiler, commons-compress, commons-lang, snappy-java, bliki-core, mongo-java-driver, json4s-core_${scala.majorVersion}, json4s-jackson_${scala.majorVersion}, jblas, guava,
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factorie_2.10 from group cc.factorie (version 1.1.1)

Group: cc.factorie Artifact: factorie_2.10
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Artifact factorie_2.10
Group cc.factorie
Version 1.1.1
Last update 03. December 2014
Organization University of Massachusetts, Amherst
URL http://factorie.cs.umass.edu
License Apache 2
Dependencies amount 8
Dependencies scala-library, scala-compiler, commons-compress, commons-lang, snappy-java, bliki-core, mongo-java-driver, jblas,
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ordinalStochasticDominance from group nz.ac.waikato.cms.weka (version 1.0.2)

An implementation of the Ordinal Stochastic Dominance Learner. Further information regarding the OSDL-algorithm can be found in: S. Lievens, B. De Baets, K. Cao-Van (2006). A Probabilistic Framework for the Design of Instance-Based Supervised Ranking Algorithms in an Ordinal Setting. Annals of Operations Research; Kim Cao-Van (2003). Supervised ranking: from semantics to algorithms; Stijn Lievens (2004). Studie en implementatie van instantie-gebaseerde algoritmen voor gesuperviseerd rangschikken

Group: nz.ac.waikato.cms.weka Artifact: ordinalStochasticDominance
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Artifact ordinalStochasticDominance
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/ordinalStochasticDominance
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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translators from group org.tweetyproject.logics (version 1.25)

Group: org.tweetyproject.logics Artifact: translators
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0 downloads

Artifact translators
Group org.tweetyproject.logics
Version 1.25
Last update 18. January 2024
Organization not specified
URL http://maven.apache.org
License not specified
Dependencies amount 3
Dependencies asp, nlp, cl,
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bpm from group org.tweetyproject.logics (version 1.25)

Group: org.tweetyproject.logics Artifact: bpm
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0 downloads

Artifact bpm
Group org.tweetyproject.logics
Version 1.25
Last update 18. January 2024
Organization not specified
URL https://github.com/TweetyProjectTeam/TweetyProject
License not specified
Dependencies amount 6
Dependencies commons, commons, petri, graphs, math, jgrapht-ext,
There are maybe transitive dependencies!

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