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xapi-template from group net.wetheinter (version 0.2)
A simple templating system for java codegen.
This library includes an object-oriented, fluent source writing api, for a chained, intuitive codegen api.
It also includes a template processor which can take java source files formatted with "magic comments",
to allow simple mapping of GeneratorClass#generatorMethod() to inject dynamic source content.
//@generateWith(GeneratorClass)//
-Sets the current generator. You may use as many as you please
//generatorMethod(arbitrary-string-data-you-may-want-to-parse)//
-invokes the named method on the current injector, with any text (between brackets) sent as a string
This allows you to markup default source with hooks where you may want to inject arbitrary code.
It is especially useful for generating super-source in gwt compiles; changes to the default class are propagated to overrides.
Artifact xapi-template
Group net.wetheinter
Version 0.2
Last update 20. February 2013
Organization The Internet Party
URL https://github.com/WeTheInternet/xapi-template
License The Apache Software License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group net.wetheinter
Version 0.2
Last update 20. February 2013
Organization The Internet Party
URL https://github.com/WeTheInternet/xapi-template
License The Apache Software License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
metaCost from group nz.ac.waikato.cms.weka (version 1.0.3)
This metaclassifier makes its base classifier cost-sensitive using the method specified in
Pedro Domingos: MetaCost: A general method for making classifiers cost-sensitive. In: Fifth International Conference on Knowledge Discovery and Data Mining, 155-164, 1999.
This classifier should produce similar results to one created by passing the base learner to Bagging, which is in turn passed to a CostSensitiveClassifier operating on minimum expected cost. The difference is that MetaCost produces a single cost-sensitive classifier of the base learner, giving the benefits of fast classification and interpretable output (if the base learner itself is interpretable). This implementation uses all bagging iterations when reclassifying training data (the MetaCost paper reports a marginal improvement when only those iterations containing each training instance are used in reclassifying that instance).
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Artifact metaCost
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 06. February 2013
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/metaCost
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 06. February 2013
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/metaCost
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
biblio-transformation-engine from group gr.ekt (version 0.82)
The biblio transformation engine is a java framework developed by the Hellenic National Documentation Centre (EKT, www.ekt.gr) and consists of programmatic APIs for filtering and modifying records that are retrieved from various types of data sources (eg. databases, files, legacy data sources) as well as for outputing them in appropriate standards formats (eg. database files, txt, xml, Excel). The framework includes independent abstract modules that are executed seperately, offering in many cases alternative choices to the user depending of the input data set, the transformation workflow that needs to be executed and the output format that needs to be generated.
Group: gr.ekt Artifact: biblio-transformation-engine
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Artifact biblio-transformation-engine
Group gr.ekt
Version 0.82
Last update 21. September 2012
Organization not specified
URL biblio-transformation-engine.googlecode.com
License New BSD License
Dependencies amount 6
Dependencies dom4j, log4j, opencsv, jena, jxl, jbibtex,
There are maybe transitive dependencies!
Group gr.ekt
Version 0.82
Last update 21. September 2012
Organization not specified
URL biblio-transformation-engine.googlecode.com
License New BSD License
Dependencies amount 6
Dependencies dom4j, log4j, opencsv, jena, jxl, jbibtex,
There are maybe transitive dependencies!
jentity-swing from group org.jentity (version 0.3)
Artifact jentity-swing
Group org.jentity
Version 0.3
Last update 27. August 2012
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies jentity-core,
There are maybe transitive dependencies!
Group org.jentity
Version 0.3
Last update 27. August 2012
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies jentity-core,
There are maybe transitive dependencies!
jentity-core from group org.jentity (version 0.3)
Artifact jentity-core
Group org.jentity
Version 0.3
Last update 27. August 2012
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies commons-lang,
There are maybe transitive dependencies!
Group org.jentity
Version 0.3
Last update 27. August 2012
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies commons-lang,
There are maybe transitive dependencies!
jentity-generator from group org.jentity (version 0.3)
Artifact jentity-generator
Group org.jentity
Version 0.3
Last update 27. August 2012
Organization not specified
URL Not specified
License not specified
Dependencies amount 4
Dependencies maven-project, maven-plugin-api, velocity, plexus-compiler-api,
There are maybe transitive dependencies!
Group org.jentity
Version 0.3
Last update 27. August 2012
Organization not specified
URL Not specified
License not specified
Dependencies amount 4
Dependencies maven-project, maven-plugin-api, velocity, plexus-compiler-api,
There are maybe transitive dependencies!
jentity from group org.jentity (version 0.3)
The Jentity framework attempts to provide the Java platform with more powerful building blocks
for integrating objects and components. The framework focuses on the challenge of maintaining
consistent data or state in a dynamic environment. This is achieved by provide reusable, extensible
objects, that can use to construct higher order structures like components, applications and systems.
Examples of concrete problems that can be effectively solved by using the Jentity framework,
are shared models, distributed models, MVC constructs.
Group: org.jentity Artifact: jentity
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Artifact jentity
Group org.jentity
Version 0.3
Last update 27. August 2012
Organization not specified
URL http://jentity.org/
License Apache License V2.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group org.jentity
Version 0.3
Last update 27. August 2012
Organization not specified
URL http://jentity.org/
License Apache License V2.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
jdom from group org.jopendocument (version 1.1.1)
JDOM is a Java-oriented object model which models XML documents.
It provides a Java-centric means of generating and manipulating
XML documents. While JDOM interoperates well with existing
standards such as the Simple API for XML (SAX) and the Document
Object Model (DOM), it is not an abstraction layer or
enhancement to those APIs. Rather, it seeks to provide a robust,
light-weight means of reading and writing XML data without the
complex and memory-consumptive options that current API
offerings provide.
built July 23 2009
Artifact jdom
Group org.jopendocument
Version 1.1.1
Last update 30. April 2012
Organization jdom.org
URL http://www.jdom.org/
License BSD/Apache style, see LICENSE.txt
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group org.jopendocument
Version 1.1.1
Last update 30. April 2012
Organization jdom.org
URL http://www.jdom.org/
License BSD/Apache style, see LICENSE.txt
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
sequentialInformationalBottleneckClusterer from group nz.ac.waikato.cms.weka (version 1.0.2)
Cluster data using the sequential information bottleneck algorithm.
Note: only hard clustering scheme is supported. sIB assign for each instance the cluster that have the minimum cost/distance to the instance. The trade-off beta is set to infinite so 1/beta is zero.
For more information, see:
Noam Slonim, Nir Friedman, Naftali Tishby: Unsupervised document classification using sequential information maximization. In: Proceedings of the 25th International ACM SIGIR Conference on Research and Development in Information Retrieval, 129-136, 2002.
Group: nz.ac.waikato.cms.weka Artifact: sequentialInformationalBottleneckClusterer
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Artifact sequentialInformationalBottleneckClusterer
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/sequentialInformationalBottleneckClusterer
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
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/sequentialInformationalBottleneckClusterer
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
multiBoostAB from group nz.ac.waikato.cms.weka (version 1.0.2)
Class for boosting a classifier using the MultiBoosting method.
MultiBoosting is an extension to the highly successful AdaBoost technique for forming decision committees. MultiBoosting can be viewed as combining AdaBoost with wagging. It is able to harness both AdaBoost's high bias and variance reduction with wagging's superior variance reduction. Using C4.5 as the base learning algorithm, Multi-boosting is demonstrated to produce decision committees with lower error than either AdaBoost or wagging significantly more often than the reverse over a large representative cross-section of UCI data sets. It offers the further advantage over AdaBoost of suiting parallel execution.
For more information, see
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
Group: nz.ac.waikato.cms.weka Artifact: multiBoostAB
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Artifact multiBoostAB
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/multiBoostAB
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
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/multiBoostAB
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
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Page 1904 from 1921 (items total 19203)