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build from group com.geercode.elehall (version 0.0.3)

element hall取自老滚五中冬堡学院的元素大厅,知识与技艺集聚之地。

Group: com.geercode.elehall Artifact: build
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Artifact build
Group com.geercode.elehall
Version 0.0.3
Last update 01. July 2020
Organization not specified
URL https://github.com/geercode/elehall
License Apache License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
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upm_a110x from group io.mraa.at.upm (version 1.7.1)

Hall Effect Sensor

Group: io.mraa.at.upm Artifact: upm_a110x
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Artifact upm_a110x
Group io.mraa.at.upm
Version 1.7.1
Last update 05. December 2018
Organization not specified
URL http://upm.mraa.io
License MIT License
Dependencies amount 1
Dependencies mraa,
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upm_a110x from group io.mraa.upm (version 1.7.1)

Hall Effect Sensor

Group: io.mraa.upm Artifact: upm_a110x
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Artifact upm_a110x
Group io.mraa.upm
Version 1.7.1
Last update 21. November 2018
Organization not specified
URL http://upm.mraa.io
License MIT License
Dependencies amount 1
Dependencies mraa,
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cityHall from group com.digitalBorderlands (version 1.0)

A library for accessing City Hall Enterprise Settings Server.

Group: com.digitalBorderlands Artifact: cityHall
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Artifact cityHall
Group com.digitalBorderlands
Version 1.0
Last update 20. September 2016
Organization Digital Borderlands, Inc.
URL http://www.digitalborderlands.com/cityhall
License MIT License
Dependencies amount 4
Dependencies httpclient, httpclient, gson, commons-lang3,
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learning from group com.thesett (version 0.9.117)

Learning code developed from 'Artificial Intelligence a Modern Approach', Prentice Hall.

Group: com.thesett Artifact: learning
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Artifact learning
Group com.thesett
Version 0.9.117
Last update 02. November 2016
Organization not specified
URL https://www.thesett.com/build_reports/lojix/learning
License not specified
Dependencies amount 3
Dependencies common, state, power_model,
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search from group com.thesett (version 0.9.117)

Search code developed from 'Artificial Intelligence a Modern Approach', Prentice Hall.

Group: com.thesett Artifact: search
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Artifact search
Group com.thesett
Version 0.9.117
Last update 02. November 2016
Organization not specified
URL https://www.thesett.com/build_reports/lojix/search
License not specified
Dependencies amount 2
Dependencies common, state,
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aima from group com.thesett (version 0.8.3)

Library of code developed from 'Artificial Intelligence a Modern Approach', Prentice Hall.

Group: com.thesett Artifact: aima
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1 downloads
Artifact aima
Group com.thesett
Version 0.8.3
Last update 20. August 2014
Organization not specified
URL https://www.thesett.com/build_reports/lojix/aima
License not specified
Dependencies amount 1
Dependencies common,
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EMImputation from group nz.ac.waikato.cms.weka (version 1.0.2)

Replaces missing numeric values using Expectation Maximization with a multivariate normal model. Described in " Schafer, J.L. Analysis of Incomplete Multivariate Data, New York: Chapman and Hall, 1997."

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

Classifier for incremental learning of large datasets by way of racing logit-boosted committees. For more information see: Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.

Group: nz.ac.waikato.cms.weka Artifact: racedIncrementalLogitBoost
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Artifact racedIncrementalLogitBoost
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/racedIncrementalLogitBoost
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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attributeSelectionSearchMethods from group nz.ac.waikato.cms.weka (version 1.0.7)

This package provides four search methods for attribute selection: ExhaustiveSearch, GeneticSearch, RandomSearch and RankSearch. See: David E. Goldberg (1989). Genetic algorithms in search, optimization and machine learning. Addison-Wesley. Mark Hall, Geoffrey Holmes (2003). Benchmarking attribute selection techniques for discrete class data mining. IEEE Transactions on Knowledge and Data Engineering. 15(6):1437-1447.

Group: nz.ac.waikato.cms.weka Artifact: attributeSelectionSearchMethods
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1 downloads
Artifact attributeSelectionSearchMethods
Group nz.ac.waikato.cms.weka
Version 1.0.7
Last update 27. April 2014
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/attributeSelectionSearchMethods
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!



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