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pro vyhledávání: '"Izzet Sirin"'
Autor:
H. Altay Guvenir, Izzet Sirin
Publikováno v:
Machine Learning. 23:47-67
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4af78e19d13a39aaeedb4faeeee1a88d
https://doi.org/10.1007/bf00116899
https://doi.org/10.1007/bf00116899
Autor:
H. Altay Güvenir, Izzet Sirin
Publikováno v:
Machine Learning. 23:47-67
This paper presents a new form of exemplar-based learning, based on a representation scheme called feature partitioning, and a particular implementation of this technique called CFP (for Classification by Feature Partitioning). Learning in CFP is acc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5884a96fe3765494b00dec783725119d
https://doi.org/10.1023/a:1018090317210
https://doi.org/10.1023/a:1018090317210
Autor:
H. Altay Güvenir, Izzet Sirin
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783540572923
AI*IA
AI*IA
This paper presents a new methodology for learning from examples, called Classification by Feature Partitioning (CFP). Learning in CFP is accomplished by storing the objects separately in each feature dimension as disjoint partitions of values. A par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83cf8f2b5dbd1378b1b3ed158edc7e0d
https://doi.org/10.1007/3-540-57292-9_58
https://doi.org/10.1007/3-540-57292-9_58
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