Correlation-based feature selection for machine learning
MA Hall - 1999 - researchcommons.waikato.ac.nz
A central problem in machine learning is identifying a representative set of features from
which to construct a classification model for a particular task. This thesis addresses the
problem of feature selection for machine learning through a correlation based approach.
The central hypothesis is that good feature sets contain features that are highly correlated
with the class, yet uncorrelated with each other. A feature evaluation formula, based on
ideas from test theory, provides an operational definition of this hypothesis. CFS (Correlation …
which to construct a classification model for a particular task. This thesis addresses the
problem of feature selection for machine learning through a correlation based approach.
The central hypothesis is that good feature sets contain features that are highly correlated
with the class, yet uncorrelated with each other. A feature evaluation formula, based on
ideas from test theory, provides an operational definition of this hypothesis. CFS (Correlation …
[CITATION][C] Correlation-based feature subset selection for machine learning
MA Hall - Thesis submitted in partial fulfilment of the …, 1988 - cir.nii.ac.jp
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情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす
大学図書館の本をさがす 日本の博士論文をさがす English 検索 タイトル 人物/団体名 所属機関 ISSN
DOI 期間 ~ 本文リンク 本文リンクあり データソース JaLC IRDB Crossref DataCite NDL NDL-Digital
RUDA JDCat NINJAL CiNii Articles CiNii Books CiNii Dissertations DBpedia Nikkei BP
KAKEN Integbio MDR PubMed LSDB Archive 公共データカタログ ムーンショット型研究開発事業 …