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javacl-jna from group com.nativelibs4java (version 1.0.0-RC3)

JavaCL is an Object-Oriented API that makes the C OpenCL API available to Java in a very natural way. It hides away the complexity of cross-platform C bindings, has a clean OO design (with generics, Java enums, NIO buffers, fully typed exceptions...), provides high-level features (OpenGL-interop, array reductions) and comes with samples and demos. For more info, please visit http://code.google.com/p/nativelibs4java/wiki/OpenCL.

Group: com.nativelibs4java Artifact: javacl-jna
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Artifact javacl-jna
Group com.nativelibs4java
Version 1.0.0-RC3
Last update 08. January 2013
Newest version Yes
Organization not specified
URL http://code.google.com/p/javacl/
License not specified
Dependencies amount 2
Dependencies javacl-core-jna, velocity,
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javacl-core-jna from group com.nativelibs4java (version 1.0.0-RC3)

JavaCL is an Object-Oriented API that makes the C OpenCL API available to Java in a very natural way. It hides away the complexity of cross-platform C bindings, has a clean OO design (with generics, Java enums, NIO buffers, fully typed exceptions...), provides high-level features (OpenGL-interop, array reductions) and comes with samples and demos. For more info, please visit http://code.google.com/p/nativelibs4java/wiki/OpenCL.

Group: com.nativelibs4java Artifact: javacl-core-jna
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Artifact javacl-core-jna
Group com.nativelibs4java
Version 1.0.0-RC3
Last update 08. January 2013
Newest version Yes
Organization not specified
URL http://code.google.com/p/javacl/
License not specified
Dependencies amount 2
Dependencies opencl4java-jna, nativelibs4java-utils,
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sspace-wordsi from group edu.ucla.sspace (version 2.0)

The S-Space Package is a collection of algorithms for building Semantic Spaces as well as a highly-scalable library for designing new distributional semantics algorithms. Distributional algorithms process text corpora and represent the semantic for words as high dimensional feature vectors. This package also includes matrices, vectors, and numerous clustering algorithms. These approaches are known by many names, such as word spaces, semantic spaces, or distributed semantics and rest upon the Distributional Hypothesis: words that appear in similar contexts have similar meanings.

Group: edu.ucla.sspace Artifact: sspace-wordsi
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Artifact sspace-wordsi
Group edu.ucla.sspace
Version 2.0
Last update 23. May 2012
Newest version Yes
Organization not specified
URL http://fozziethebeat.github.com/S-Space
License GNU General Public License 2
Dependencies amount 4
Dependencies commons-math, trove4j, netlib-java, arpack_combined_all,
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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
Newest version Yes
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,
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hotSpot from group nz.ac.waikato.cms.weka (version 1.0.3)

HotSpot learns a set of rules (displayed in a tree-like structure) that maximize/minimize a target variable/value of interest. With a nominal target, one might want to look for segments of the data where there is a high probability of a minority value occuring (given the constraint of a minimum support). For a numeric target, one might be interested in finding segments where this is higher on average than in the whole data set. For example, in a health insurance scenario, find which health insurance groups are at the highest risk (have the highest claim ratio), or, which groups have the highest average insurance payout.

Group: nz.ac.waikato.cms.weka Artifact: hotSpot
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Artifact hotSpot
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 26. April 2012
Newest version Yes
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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wscm-impl from group org.glassfish.metro (version 2.1-b17)

Group: org.glassfish.metro Artifact: wscm-impl
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Artifact wscm-impl
Group org.glassfish.metro
Version 2.1-b17
Last update 25. October 2010
Newest version Yes
Organization not specified
URL Not specified
License not specified
Dependencies amount 10
Dependencies metro-commons, gmbal-api-only, istack-commons-runtime, jaxb-impl, jaxws-api, jaxws-rt, policy, stax-api, streambuffer, wscm-api,
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wscm-project from group org.glassfish.metro (version 2.1-b17)

Group: org.glassfish.metro Artifact: wscm-project
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Artifact wscm-project
Group org.glassfish.metro
Version 2.1-b17
Last update 25. October 2010
Newest version Yes
Organization not specified
URL Not specified
License not specified
Dependencies amount 0
Dependencies No dependencies
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wscm-api from group org.glassfish.metro (version 2.1-b17)

Group: org.glassfish.metro Artifact: wscm-api
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Artifact wscm-api
Group org.glassfish.metro
Version 2.1-b17
Last update 25. October 2010
Newest version Yes
Organization not specified
URL Not specified
License not specified
Dependencies amount 6
Dependencies gmbal, istack-commons-runtime, jaxws-api, jaxws-rt, policy, stax-api,
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rupy from group com.google.code.p (version 0.2.4)

Weighing less than 50KB, Rupy is probably the smallest Java NIO application server in the world. Rupy is inherently non-blocking asynchronous, which makes it the ideal candidate for high concurrency real-time applications pushing dynamic data. Tested with acme, rupy performs on average ~1500 requests per second. To put that figure in perspective; acme doesn't use keep-alive, so that means 1500 unique TCP connections serving dynamic content per second! Thanks to NIO and an event queue to avoid selector trashing, this figure degrades gracefully under high concurrency.

Group: com.google.code.p Artifact: rupy
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Artifact rupy
Group com.google.code.p
Version 0.2.4
Last update 27. September 2008
Newest version Yes
Organization not specified
URL http://code.google.com/p/rupy/
License GNU Lesser General Public License
Dependencies amount 0
Dependencies No dependencies
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libswresample from group com.tagtraum (version 4.0.0)

The libswresample library performs highly optimized audio resampling, rematrixing and sample format conversion operations. Specifically, this library performs the following conversions: Resampling: is the process of changing the audio rate, for example from an high sample rate of 44100Hz to 8000Hz. Audio conversion from high to low sample rate is a lossy process. Several resampling options and algorithms are available. Format conversion: is the process of converting the type of samples, for example from 16-bit signed samples to unsigned 8-bit or float samples. It also handles packing conversion, when passing from packed layout (all samples belonging to distinct channels interleaved in the same buffer), to planar layout (all samples belonging to the same channel stored in a dedicated buffer or "plane"). Rematrixing: is the process of changing the channel layout, for example from stereo to mono. When the input channels cannot be mapped to the output streams, the process is lossy, since it involves different gain factors and mixing. Various other audio conversions (e.g. stretching and padding) are enabled through dedicated options.

Group: com.tagtraum Artifact: libswresample
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Artifact libswresample
Group com.tagtraum
Version 4.0.0
Last update 25. April 2018
Newest version Yes
Organization FFmpeg.org
URL http://ffmpeg.org/
License not specified
Dependencies amount 0
Dependencies No dependencies
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