http://dbpedia.org/ontology/abstract
|
Extremal Ensemble Learning (EEL) is a mach … Extremal Ensemble Learning (EEL) is a machine learning algorithmic paradigm for graph partitioning. EEL creates an ensemble of partitions and then uses information contained in the ensemble to find new and improved partitions. The ensemble evolves and learns how to form improved partitions through extremal updating procedure. The final solution is found by achieving consensus among its member partitions about what the optimal partition is.tions about what the optimal partition is.
|
http://dbpedia.org/ontology/wikiPageID
|
61947907
|
http://dbpedia.org/ontology/wikiPageLength
|
2461
|
http://dbpedia.org/ontology/wikiPageRevisionID
|
1081253064
|
http://dbpedia.org/ontology/wikiPageWikiLink
|
http://dbpedia.org/resource/Extremal +
, http://dbpedia.org/resource/Modularity_%28networks%29 +
, http://dbpedia.org/resource/Machine_learning +
, http://dbpedia.org/resource/Category:Machine_learning_algorithms +
, http://dbpedia.org/resource/Ensemble_learning +
, http://dbpedia.org/resource/Category:Graph_algorithms +
, http://dbpedia.org/resource/NP-Hard_Problem +
, http://dbpedia.org/resource/Consensus_%28computer_science%29 +
, http://dbpedia.org/resource/Graph_partition +
|
http://dbpedia.org/property/wikiPageUsesTemplate
|
http://dbpedia.org/resource/Template:Short_description +
, http://dbpedia.org/resource/Template:Compu-ai-stub +
, http://dbpedia.org/resource/Template:Reflist +
|
http://purl.org/dc/terms/subject
|
http://dbpedia.org/resource/Category:Graph_algorithms +
, http://dbpedia.org/resource/Category:Machine_learning_algorithms +
|
http://www.w3.org/ns/prov#wasDerivedFrom
|
http://en.wikipedia.org/wiki/Extremal_Ensemble_Learning?oldid=1081253064&ns=0 +
|
http://xmlns.com/foaf/0.1/isPrimaryTopicOf
|
http://en.wikipedia.org/wiki/Extremal_Ensemble_Learning +
|
owl:sameAs |
http://dbpedia.org/resource/Extremal_Ensemble_Learning +
, https://global.dbpedia.org/id/BvTBi +
, http://www.wikidata.org/entity/Q85760126 +
|
rdfs:comment |
Extremal Ensemble Learning (EEL) is a mach … Extremal Ensemble Learning (EEL) is a machine learning algorithmic paradigm for graph partitioning. EEL creates an ensemble of partitions and then uses information contained in the ensemble to find new and improved partitions. The ensemble evolves and learns how to form improved partitions through extremal updating procedure. The final solution is found by achieving consensus among its member partitions about what the optimal partition is.tions about what the optimal partition is.
|
rdfs:label |
Extremal Ensemble Learning
|