TS, a test-split algorithm for inductive learning:
Abstract: "This paper presents a new attribute-based learning algorithm, TS. Different from ID3, AQ11 and HCV in strategies, this algorithm operates in cycles of test and split. It uses those attribute values which occur only in positive examples but not in negative examples to discriminate pos...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Edinburgh
1991
|
| Series: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
568 |
| Subjects: | |
| Summary: | Abstract: "This paper presents a new attribute-based learning algorithm, TS. Different from ID3, AQ11 and HCV in strategies, this algorithm operates in cycles of test and split. It uses those attribute values which occur only in positive examples but not in negative examples to discriminate positive examples against negative examples in a straight- forward manner and chooses the attributes with the least number of different values to split example sets. TS is natural, easy to implement, and polynomial in time complexity." |
| Physical Description: | 13 S. |
Staff View
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| 520 | 3 | |a Abstract: "This paper presents a new attribute-based learning algorithm, TS. Different from ID3, AQ11 and HCV in strategies, this algorithm operates in cycles of test and split. It uses those attribute values which occur only in positive examples but not in negative examples to discriminate positive examples against negative examples in a straight- forward manner and chooses the attributes with the least number of different values to split example sets. TS is natural, easy to implement, and polynomial in time complexity." | |
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| id | DE-604.BV010459098 |
| illustrated | Not Illustrated |
| indexdate | 2024-10-15T10:07:52Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006968176 |
| oclc_num | 1071638627 |
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| owner_facet | DE-91G DE-BY-TUM |
| physical | 13 S. |
| publishDate | 1991 |
| publishDateSearch | 1991 |
| publishDateSort | 1991 |
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| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Wu, Xindong Verfasser aut TS, a test-split algorithm for inductive learning Edinburgh 1991 13 S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 568 Abstract: "This paper presents a new attribute-based learning algorithm, TS. Different from ID3, AQ11 and HCV in strategies, this algorithm operates in cycles of test and split. It uses those attribute values which occur only in positive examples but not in negative examples to discriminate positive examples against negative examples in a straight- forward manner and chooses the attributes with the least number of different values to split example sets. TS is natural, easy to implement, and polynomial in time complexity." Bionics and artificial intelligence sigle Computer software sigle Machine learning Department of Artificial Intelligence: DAI research paper University <Edinburgh> 568 (DE-604)BV010450646 568 |
| spellingShingle | Wu, Xindong TS, a test-split algorithm for inductive learning Bionics and artificial intelligence sigle Computer software sigle Machine learning |
| title | TS, a test-split algorithm for inductive learning |
| title_auth | TS, a test-split algorithm for inductive learning |
| title_exact_search | TS, a test-split algorithm for inductive learning |
| title_full | TS, a test-split algorithm for inductive learning |
| title_fullStr | TS, a test-split algorithm for inductive learning |
| title_full_unstemmed | TS, a test-split algorithm for inductive learning |
| title_short | TS, a test-split algorithm for inductive learning |
| title_sort | ts a test split algorithm for inductive learning |
| topic | Bionics and artificial intelligence sigle Computer software sigle Machine learning |
| topic_facet | Bionics and artificial intelligence Computer software Machine learning |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT wuxindong tsatestsplitalgorithmforinductivelearning |