About: Meta-Learning for Hierarchical Classification and Applications in Bioinformatics

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type	http://eprints.org/ontology/ArticleEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #69105 Meta-Learning for Hierarchical Classification and Applications in Bioinformatics
http://eprints.org/ontology/hasAccepted	Meta-Learning for Hierarchical Classification and Applications in Bioinformatics (PDF)
http://eprints.org/ontology/hasDocument	Meta-Learning for Hierarchical Classification and Applications in Bioinformatics (PDF) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics (PDF) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics (Other) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics (Other) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics (Other) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics (Other) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics (Other) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics (Other) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics (Other) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics (Other) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics (Other) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics (Other)
http://eprints.org/ontology/hasPublished	Meta-Learning for Hierarchical Classification and Applications in Bioinformatics (PDF)
dc:hasVersion	Meta-Learning for Hierarchical Classification and Applications in Bioinformatics (PDF) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics (PDF)
Title	Meta-Learning for Hierarchical Classification and Applications in Bioinformatics
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3
Date	2018-07-01
Creator	Fabio Fabris
status	peer reviewed published
Publisher	World Academy of Science, Engineering and Technology
abstract	Hierarchical classification is a special type of classification task where the class labels are organised into a hierarchy, with more generic class labels being ancestors of more specific ones. Meta-learning for classification-algorithm recommendation consists of recommending to the user a classification algorithm, from a pool of candidate algorithms, for a dataset, based on the past performance of the candidate algorithms in other datasets. Meta-learning is normally used in conventional, non-hierarchical classification. By contrast, this paper proposes a meta-learning approach for more challenging task of hierarchical classification, and evaluates it in a large number of bioinformatics datasets. Hierarchical classification is especially relevant for bioinformatics problems, as protein and gene functions tend to be organised into a hierarchy of class labels. This work proposes meta-learning approach for recommending the best hierarchical classification algorithm to a hierarchical classification dataset. This work’s contributions are: 1) proposing an algorithm for splitting hierarchical datasets into new datasets to increase the number of meta-instances, 2) proposing meta-features for hierarchical classification, and 3) interpreting decision-tree meta-models for hierarchical classification algorithm recommendation.
Is Part Of	International Journal of Computer and Information Engineering https://kar.kent.ac.uk/id/repository
Subject	Q Science QA Mathematics (inc Computing science) QA 76 Software, computer programming,
list of authors	https://kar.kent.ac.uk/id/eprint/69105#authors
issue	7
volume	12
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #69105 Meta-Learning for Hierarchical Classification and Applications in Bioinformatics

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