Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yasuki Kakishita"'
Autor:
Yasuki Kakishita, Hideharu Hattori, Anirban Ray, Akiko Hisada, Yusuke Ominami, Jean-Pierre Baudoin, Jacques Yaacoub Bou Khalil, Didier Raoult
Publikováno v:
2022 56th Annual Conference on Information Sciences and Systems (CISS).
Publikováno v:
Data Mining and Knowledge Discovery. 18:446-471
We propose an efficient automata-based approach to extract behavioral units and rules from continuous sequential data of animal behavior. By introducing novel extensions, we integrate two elemental methods--the N-gram model and Angluin's machine lear
Publikováno v:
Progress in Artificial Life ISBN: 9783540769309
ACAL
ACAL
We propose an automata induction approach to modeling birdsongs on the basis of Angluin's induction algorithm, which ensures that k-reversible languages can be learned from positive samples in polynomial time. There are similarities between Angluin's
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::367cd58d52ddb32a735e1b2a6532842c
https://doi.org/10.1007/978-3-540-76931-6_28
https://doi.org/10.1007/978-3-540-76931-6_28
Publikováno v:
Grammatical Inference: Algorithms and Applications ISBN: 9783540452645
ICGI
ICGI
We propose a new methodology for ethology in terms of automata induction. Recent studies on Bengalese finch reported unique features of its songs. As opposed to most other songbirds, the songs of the Bengalese finch are neither monotonous nor random;
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84d6baeebfc0bd8eb459b926ad18b394
https://doi.org/10.1007/11872436_33
https://doi.org/10.1007/11872436_33
Publikováno v:
2006 15th International Conference on Computing; 2006, p80-85, 6p