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guava-bootstrap-jdk5 from group com.google.guava (version 17.0)

ExecutorService's type parameters changed between JDK5 and JDK6 in a way that makes it impossible for our invokeAll/invokeAny methods to match both at compile time. This project builds a JDK6-like copy of ExecutorService (but with JDK5 compiler settings to ensure that it will work with JRE5 at runtime). It also builds a version of AbstractExecutorService that is equivalent to a JDK5 version but using the JDK6 type parameters for the invokeAll/invokeAny methods just as with ExecutorService. This project's is then used in the bootstrap class path of Guava proper.

Group: com.google.guava Artifact: guava-bootstrap-jdk5
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Artifact guava-bootstrap-jdk5
Group com.google.guava
Version 17.0
Last update 22. April 2014
Organization not specified
URL Not specified
License not specified
Dependencies amount 0
Dependencies No dependencies
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jadex-kernel-micro from group net.sourceforge.jadex (version 2.4)

The Jadex micro kernel provides a lightweight and very efficient kernel for minimal agents with an extremely low memory footprint. Micro agents have a simple internal architecture that is similar to active objects. They are programmed as Java objects overriding a framework class, which has predefined methods for the setup, termination, execution logic as well as message receipt.

Group: net.sourceforge.jadex Artifact: jadex-kernel-micro
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Artifact jadex-kernel-micro
Group net.sourceforge.jadex
Version 2.4
Last update 20. December 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 4
Dependencies jadex-commons, jadex-javaparser, jadex-bridge, jadex-kernel-base,
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core from group fr.inria.powerapi (version 1.5)

As its name indicates, Core module gather all "kernel" functionalities that will be use by other modules. More precisely, this module defines the whole types used by PowerAPI to define its architecture. This module also defines the essential Clock class, responsible of the periodically sending of the Tick message, itself responsible of the process of the PowerAPI business part.

Group: fr.inria.powerapi Artifact: core
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Artifact core
Group fr.inria.powerapi
Version 1.5
Last update 22. March 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 0
Dependencies No dependencies
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net.sourceforge.reb4j.scala from group net.sourceforge.reb4j (version 2.1.0)

The purpose of reb4j is to provide a pure Java wrapper around the regular expression syntax provided by the JRE's java.util.regex.Pattern class in order to facilitate programmatic construction of regular expressions while taking advantage of compile-time syntax checking. This sub-project contains the Scala implementation of reb4j.

Group: net.sourceforge.reb4j Artifact: net.sourceforge.reb4j.scala
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Artifact net.sourceforge.reb4j.scala
Group net.sourceforge.reb4j
Version 2.1.0
Last update 03. February 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 3
Dependencies junit, scala-library, scalatest_2.10,
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net.sourceforge.reb4j from group net.sourceforge.reb4j (version 2.1.0)

Group: net.sourceforge.reb4j Artifact: net.sourceforge.reb4j
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8 downloads

Artifact net.sourceforge.reb4j
Group net.sourceforge.reb4j
Version 2.1.0
Last update 03. February 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 2
Dependencies junit, functionaljava,
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simpleCART from group nz.ac.waikato.cms.weka (version 1.0.2)

Class implementing minimal cost-complexity pruning. Note when dealing with missing values, use "fractional instances" method instead of surrogate split method. For more information, see: Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (1984). Classification and Regression Trees. Wadsworth International Group, Belmont, California.

Group: nz.ac.waikato.cms.weka Artifact: simpleCART
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9 downloads

Artifact simpleCART
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/simpleCART
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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leastMedSquared from group nz.ac.waikato.cms.weka (version 1.0.2)

Implements a least median squared linear regression utilizing the existing weka LinearRegression class to form predictions. Least squared regression functions are generated from random subsamples of the data. The least squared regression with the lowest meadian squared error is chosen as the final model. The basis of the algorithm is Peter J. Rousseeuw, Annick M. Leroy (1987). Robust regression and outlier detection.

Group: nz.ac.waikato.cms.weka Artifact: leastMedSquared
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Artifact leastMedSquared
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/leastMedSquared
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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hyperPipes from group nz.ac.waikato.cms.weka (version 1.0.2)

Class implementing a HyperPipe classifier. For each category a HyperPipe is constructed that contains all points of that category (essentially records the attribute bounds observed for each category). Test instances are classified according to the category that "most contains the instance". Does not handle numeric class, or missing values in test cases. Extremely simple algorithm, but has the advantage of being extremely fast, and works quite well when you have "smegloads" of attributes.

Group: nz.ac.waikato.cms.weka Artifact: hyperPipes
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1 downloads

Artifact hyperPipes
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/hyperPipes
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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SVMAttributeEval from group nz.ac.waikato.cms.weka (version 1.0.2)

Evaluates the worth of an attribute by using an SVM classifier. Attributes are ranked by the square of the weight assigned by the SVM. Attribute selection for multiclass problems is handled by ranking attributes for each class seperately using a one-vs-all method and then "dealing" from the top of each pile to give a final ranking. For more information see: I. Guyon, J. Weston, S. Barnhill, V. Vapnik (2002). Gene selection for cancer classification using support vector machines. Machine Learning. 46:389-422.

Group: nz.ac.waikato.cms.weka Artifact: SVMAttributeEval
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2 downloads

Artifact SVMAttributeEval
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/SVMAttributeEval
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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generalizedSequentialPatterns from group nz.ac.waikato.cms.weka (version 1.0.2)

Class implementing a GSP algorithm for discovering sequential patterns in a sequential data set. The attribute identifying the distinct data sequences contained in the set can be determined by the respective option. Furthermore, the set of output results can be restricted by specifying one or more attributes that have to be contained in each element/itemset of a sequence. For further information see: Ramakrishnan Srikant, Rakesh Agrawal (1996). Mining Sequential Patterns: Generalizations and Performance Improvements.

Group: nz.ac.waikato.cms.weka Artifact: generalizedSequentialPatterns
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Artifact generalizedSequentialPatterns
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/generalizedSequentialPatterns
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!

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