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it.xsemantics.targetplatform from group net.sf.xsemantics (version 1.12.1)

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it.xsemantics.parent from group net.sf.xsemantics (version 1.12.1)

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Artifact it.xsemantics.parent
Group net.sf.xsemantics
Version 1.12.1


uamds-core from group com.github.hageldave.uamds (version 0.1.0)

Java implementation of Uncertainty-Aware Multidimensional Scaling (UAMDS). UAMDS is a dimensionality reduction algorithm for sets of multivariate normal distributions. (Related publication DOI: 10.1109/TVCG.2022.3209420)

Group: com.github.hageldave.uamds Artifact: uamds-core
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Artifact uamds-core
Group com.github.hageldave.uamds
Version 0.1.0
Last update 16. March 2023
Organization not specified
URL https://github.com/hageldave/uamds
License The MIT License (MIT)
Dependencies amount 1
Dependencies optisled,
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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
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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tabuAndScatterSearch from group nz.ac.waikato.cms.weka (version 1.0.2)

Search methods contributed by Adrian Pino (ScatterSearchV1, TabuSearch). ScatterSearch: Performs an Scatter Search through the space of attribute subsets. Start with a population of many significants and diverses subset stops when the result is higher than a given treshold or there's not more improvement. For more information see: Felix Garcia Lopez (2004). Solving feature subset selection problem by a Parallel Scatter Search. Elsevier. Tabu Search: Abdel-Rahman Hedar, Jue Wangy, Masao Fukushima (2006). Tabu Search for Attribute Reduction in Rough Set Theory.

Group: nz.ac.waikato.cms.weka Artifact: tabuAndScatterSearch
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Artifact tabuAndScatterSearch
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/tabuAndScatterSearch
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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toolbox-utils from group de.uni_leipzig.asv.toolbox (version 1.0)

ASV Toolbox is a modular collection of tools for the exploration of written language data. They work either on word lists or text and solve several linguistic classification and clustering tasks. The topics covered contain language detection, POS-tagging, base form reduction, named entity recognition, and terminology extraction. On a more abstract level, the algorithms deal with various kinds of word similarity, using pattern based and statistical approaches. The collection can be used to work on large real world data sets as well as for studying the underlying algorithms. The ASV Toolbox can work on plain text files and connect to a MySQL database. While it is especially designed to work with corpora of the Leipzig Corpora Collection, it can easily be adapted to other sources.

Group: de.uni_leipzig.asv.toolbox Artifact: toolbox-utils
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Artifact toolbox-utils
Group de.uni_leipzig.asv.toolbox
Version 1.0
Last update 13. August 2013
Organization not specified
URL http://wortschatz.uni-leipzig.de/~cbiemann/software/toolbox/
License MIT License
Dependencies amount 0
Dependencies No dependencies
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zoomvideosdk-videoeffects from group us.zoom.videosdk (version 1.14.0)

The Video SDKs are app development kits provided to enrich apps with video collaboration features to connect customers and communities. Use these SDKs to build apps with highly customized user interfaces along with access to raw video and audio data. Video SDKs are designed to be: * Easy to use: Import libraries, call required functions, and all video conferencing will be handled for you. * Lightweight: Video SDKs are streamlined toolkits with an enormous reduction in size compared to Meeting SDKs with all the power of Zoom's video and audio solutions. * Highly customizable: Raw video and audio data is available to you, allowing your chosen renderer to customize the video experience. Video sessions created by the Video SDKs are launched instantly, bringing a delightful video communication experience to your users with high-quality video and audio. Direct access to raw video and audio data allows improved interaction between users and the app video stream. Imagine a gaming video streaming app with direct interaction between the player and viewers based on in-game events or prompts from the community. Or, imagine an AR streaming platform with direct viewer access to the on-screen video. As with our Meeting SDKs, Video SDKs allow screen-sharing from devices, in-session chat messages, and high-quality video and audio streams similar to Zoom's core capabilities. The Video SDKs enable the following functionality in your app: * Launch a video communication session instantly * Share screen directly from your device * Send instant chat messages during the session * Capture and review raw data locally * Test different rendering schema and enjoy high-quality video and audio streams * Broadcast the video session to third-party live streaming providers To know more, see: https://developers.zoom.us/docs/video-sdk/

Group: us.zoom.videosdk Artifact: zoomvideosdk-videoeffects
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Artifact zoomvideosdk-videoeffects
Group us.zoom.videosdk
Version 1.14.0
Last update 20. December 2024
Organization not specified
URL https://developers.zoom.us/docs/video-sdk/
License Zoom Video SDK Terms of Service
Dependencies amount 0
Dependencies No dependencies
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zoomvideosdk-annotation from group us.zoom.videosdk (version 1.14.0)

The Video SDKs are app development kits provided to enrich apps with video collaboration features to connect customers and communities. Use these SDKs to build apps with highly customized user interfaces along with access to raw video and audio data. Video SDKs are designed to be: * Easy to use: Import libraries, call required functions, and all video conferencing will be handled for you. * Lightweight: Video SDKs are streamlined toolkits with an enormous reduction in size compared to Meeting SDKs with all the power of Zoom's video and audio solutions. * Highly customizable: Raw video and audio data is available to you, allowing your chosen renderer to customize the video experience. Video sessions created by the Video SDKs are launched instantly, bringing a delightful video communication experience to your users with high-quality video and audio. Direct access to raw video and audio data allows improved interaction between users and the app video stream. Imagine a gaming video streaming app with direct interaction between the player and viewers based on in-game events or prompts from the community. Or, imagine an AR streaming platform with direct viewer access to the on-screen video. As with our Meeting SDKs, Video SDKs allow screen-sharing from devices, in-session chat messages, and high-quality video and audio streams similar to Zoom's core capabilities. The Video SDKs enable the following functionality in your app: * Launch a video communication session instantly * Share screen directly from your device * Send instant chat messages during the session * Capture and review raw data locally * Test different rendering schema and enjoy high-quality video and audio streams * Broadcast the video session to third-party live streaming providers To know more, see: https://developers.zoom.us/docs/video-sdk/

Group: us.zoom.videosdk Artifact: zoomvideosdk-annotation
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Artifact zoomvideosdk-annotation
Group us.zoom.videosdk
Version 1.14.0
Last update 20. December 2024
Organization not specified
URL https://developers.zoom.us/docs/video-sdk/
License Zoom Video SDK Terms of Service
Dependencies amount 1
Dependencies constraintlayout,
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zoomvideosdk-core from group us.zoom.videosdk (version 1.14.0)

The Video SDKs are app development kits provided to enrich apps with video collaboration features to connect customers and communities. Use these SDKs to build apps with highly customized user interfaces along with access to raw video and audio data. Video SDKs are designed to be: * Easy to use: Import libraries, call required functions, and all video conferencing will be handled for you. * Lightweight: Video SDKs are streamlined toolkits with an enormous reduction in size compared to Meeting SDKs with all the power of Zoom's video and audio solutions. * Highly customizable: Raw video and audio data is available to you, allowing your chosen renderer to customize the video experience. Video sessions created by the Video SDKs are launched instantly, bringing a delightful video communication experience to your users with high-quality video and audio. Direct access to raw video and audio data allows improved interaction between users and the app video stream. Imagine a gaming video streaming app with direct interaction between the player and viewers based on in-game events or prompts from the community. Or, imagine an AR streaming platform with direct viewer access to the on-screen video. As with our Meeting SDKs, Video SDKs allow screen-sharing from devices, in-session chat messages, and high-quality video and audio streams similar to Zoom's core capabilities. The Video SDKs enable the following functionality in your app: * Launch a video communication session instantly * Share screen directly from your device * Send instant chat messages during the session * Capture and review raw data locally * Test different rendering schema and enjoy high-quality video and audio streams * Broadcast the video session to third-party live streaming providers To know more, see: https://developers.zoom.us/docs/video-sdk/

Group: us.zoom.videosdk Artifact: zoomvideosdk-core
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Artifact zoomvideosdk-core
Group us.zoom.videosdk
Version 1.14.0
Last update 20. December 2024
Organization not specified
URL https://developers.zoom.us/docs/video-sdk/
License Zoom Video SDK Terms of Service
Dependencies amount 3
Dependencies security-crypto, tink-android, appcompat,
There are maybe transitive dependencies!



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