HCV, a heuristic covering algorithm for extension matrix approach:
Abstract: "HCV is a heuristic attribute-based induction algorithm based on the extension matrix approach. By dividing the positive examples (PE) in a given example set into intersecting groups and adopting a set of strategies to find a heuristic conjunctive formula in each group which covers al...
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Edinburgh
1992
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Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
578 |
Schlagworte: | |
Zusammenfassung: | Abstract: "HCV is a heuristic attribute-based induction algorithm based on the extension matrix approach. By dividing the positive examples (PE) in a given example set into intersecting groups and adopting a set of strategies to find a heuristic conjunctive formula in each group which covers all the positive examples in the group and none of the negative examples (NE), it can find a covering formula in form [sic] of variable- value logic for PE against NE in low-order polynomial time. This paper presents the algorithm in detail and provides a comparison of it with ID3, a representative of the decision tree method based family of inductive algorithms." |
Beschreibung: | 28 S. |
Internformat
MARC
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490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 578 | |
520 | 3 | |a Abstract: "HCV is a heuristic attribute-based induction algorithm based on the extension matrix approach. By dividing the positive examples (PE) in a given example set into intersecting groups and adopting a set of strategies to find a heuristic conjunctive formula in each group which covers all the positive examples in the group and none of the negative examples (NE), it can find a covering formula in form [sic] of variable- value logic for PE against NE in low-order polynomial time. This paper presents the algorithm in detail and provides a comparison of it with ID3, a representative of the decision tree method based family of inductive algorithms." | |
650 | 7 | |a Bionics and artificial intelligence |2 sigle | |
650 | 4 | |a Induction (Logic) | |
810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 578 |w (DE-604)BV010450646 |9 578 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-006968428 |
Datensatz im Suchindex
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any_adam_object | |
author | Wu, Xingdong |
author_facet | Wu, Xingdong |
author_role | aut |
author_sort | Wu, Xingdong |
author_variant | x w xw |
building | Verbundindex |
bvnumber | BV010459397 |
ctrlnum | (OCoLC)31283408 (DE-599)BVBBV010459397 |
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id | DE-604.BV010459397 |
illustrated | Not Illustrated |
indexdate | 2024-07-09T17:52:51Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006968428 |
oclc_num | 31283408 |
open_access_boolean | |
owner | DE-91G DE-BY-TUM |
owner_facet | DE-91G DE-BY-TUM |
physical | 28 S. |
publishDate | 1992 |
publishDateSearch | 1992 |
publishDateSort | 1992 |
record_format | marc |
series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
spelling | Wu, Xingdong Verfasser aut HCV, a heuristic covering algorithm for extension matrix approach Edinburgh 1992 28 S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 578 Abstract: "HCV is a heuristic attribute-based induction algorithm based on the extension matrix approach. By dividing the positive examples (PE) in a given example set into intersecting groups and adopting a set of strategies to find a heuristic conjunctive formula in each group which covers all the positive examples in the group and none of the negative examples (NE), it can find a covering formula in form [sic] of variable- value logic for PE against NE in low-order polynomial time. This paper presents the algorithm in detail and provides a comparison of it with ID3, a representative of the decision tree method based family of inductive algorithms." Bionics and artificial intelligence sigle Induction (Logic) Department of Artificial Intelligence: DAI research paper University <Edinburgh> 578 (DE-604)BV010450646 578 |
spellingShingle | Wu, Xingdong HCV, a heuristic covering algorithm for extension matrix approach Bionics and artificial intelligence sigle Induction (Logic) |
title | HCV, a heuristic covering algorithm for extension matrix approach |
title_auth | HCV, a heuristic covering algorithm for extension matrix approach |
title_exact_search | HCV, a heuristic covering algorithm for extension matrix approach |
title_full | HCV, a heuristic covering algorithm for extension matrix approach |
title_fullStr | HCV, a heuristic covering algorithm for extension matrix approach |
title_full_unstemmed | HCV, a heuristic covering algorithm for extension matrix approach |
title_short | HCV, a heuristic covering algorithm for extension matrix approach |
title_sort | hcv a heuristic covering algorithm for extension matrix approach |
topic | Bionics and artificial intelligence sigle Induction (Logic) |
topic_facet | Bionics and artificial intelligence Induction (Logic) |
volume_link | (DE-604)BV010450646 |
work_keys_str_mv | AT wuxingdong hcvaheuristiccoveringalgorithmforextensionmatrixapproach |