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localOutlierFactor from group nz.ac.waikato.cms.weka (version 1.0.4)

A filter that applies the LOF (Local Outlier Factor) algorithm to compute an outlier score for each instance in the data. Can use multiple cores/cpus to speed up the LOF computation for large datasets. Nearest neighbor search methods and distance functions are pluggable. For more information, see: Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jorg Sander (2000). LOF: Identifying Density-Based Local Outliers. ACM SIGMOD Record. 29(2):93-104.

Group: nz.ac.waikato.cms.weka Artifact: localOutlierFactor
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Artifact localOutlierFactor
Group nz.ac.waikato.cms.weka
Version 1.0.4
Last update 23. July 2013
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/localOutlierFactor
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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kernelLogisticRegression from group nz.ac.waikato.cms.weka (version 1.0.0)

This package contains a classifier that can be used to train a two-class kernel logistic regression model with the kernel functions that are available in WEKA. It optimises the negative log-likelihood with a quadratic penalty. Both, BFGS and conjugate gradient descent, are available as optimisation methods, but the former is normally faster. It is possible to use multiple threads, but the speed-up is generally very marginal when used with BFGS optimisation. With conjugate gradient descent optimisation, greater speed-ups can be achieved when using multiple threads. With the default kernel, the dot product kernel, this method produces results that are close to identical to those obtained using standard logistic regression in WEKA, provided a sufficiently large value for the parameter determining the size of the quadratic penalty is used in both cases.

Group: nz.ac.waikato.cms.weka Artifact: kernelLogisticRegression
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Artifact kernelLogisticRegression
Group nz.ac.waikato.cms.weka
Version 1.0.0
Last update 26. June 2013
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/kernelLogisticRegression
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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xbis from group net.sourceforge.xbis (version 0.9.5)

XBIS is an encoding format for XML documents that is fully convertible to and from text, with information set equivalence between the original document text and regenerated document text. It's intended for use in transmitting XML documents between application components, and is therefore designed for processing speed. The current Java language implementation offers several times the performance of SAX2 parsers working from text documents across a wide range of document types and sizes, and across JVMs tested, while also providing a substantial reduction in document size for most types of XML documents.

Group: net.sourceforge.xbis Artifact: xbis
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Artifact xbis
Group net.sourceforge.xbis
Version 0.9.5
Last update 22. July 2011
Organization Sosnoski Software Solutions, Inc.
URL http://xbis.sourceforge.net/
License BSD
Dependencies amount 2
Dependencies jdom, xercesImpl,
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xmlwriter from group xmlwriter (version 2.2.2)

A great way to output Xml. Far easier to code with than painful DOM or SAX like solutions and much nicer in terms of speed and memory usage. <br/> <br/> While XmlWriter contains its own xml outputter, it has the ability to sit on top of other core Xml writing products, such as <a href="http://xmlenc.sf.net/">XmlEnc</a>. In addition, the user may layer <a href="Optional.html">other functionalities</a> on top of the core writing, such as on the fly schema checking, date/number formatting, specific empty-element handling and pretty-printing.

Group: xmlwriter Artifact: xmlwriter
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Artifact xmlwriter
Group xmlwriter
Version 2.2.2
Last update 02. January 2008
Organization OSJava
URL http://www.osjava.org/xmlwriter/
License not specified
Dependencies amount 3
Dependencies xmlenc, isorelax, junit,
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