Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Takao Mohri"'
Publikováno v:
Artificial Intelligence Review. 11:273-314
Many lazy learning algorithms are derivatives of the k-nearest neighbor (k-NN) classifier, which uses a distance function to generate predictions from stored instances. Several studies have shown that k-NN‘s performance is highly sensitive to the d
Alterations of circadian expressions of clock genes in Dahl salt-sensitive rats fed a high-salt diet
Autor:
Takao Mohri, Kazuhiro Yagita, Noriaki Emoto, Hiroyuki Fukuya, Hidemi Nonaka, Hitoshi Okamura, Mitsuhiro Yokoyama
Publikováno v:
Hypertension (Dallas, Tex. : 1979). 42(2)
In mammals, behavioral and physiologic processes display 24-hour rhythms that are regulated by a circadian system consisting of central and peripheral oscillators. Because various cardiovascular functions show diurnal variations and abnormal patterns
Autor:
Takao Mohri, Yuji Takada
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540653905
Discovery Science
Discovery Science
Since the Internet becomes popular and widely used, many services including databases are available for users. However, more databases are available, more difficult it becomes to select and use them. One promising way to solve this problem is to use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::668bc2cd8bc4e53108f82cc512e6f35f
https://doi.org/10.1007/3-540-49292-5_47
https://doi.org/10.1007/3-540-49292-5_47
Publikováno v:
Lazy Learning ISBN: 9789048148608
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5ed5ca6921a49f83b7886ddca7615bd
https://doi.org/10.1007/978-94-017-2053-3_11
https://doi.org/10.1007/978-94-017-2053-3_11
Publisher Summary This chapter presents an implementation of the weather forecasting system using observation data on memory (WINDOM), which uses memory-based reasoning. WINDOM predicts the weather conditions at a given place several hours ahead, usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf118bec6caafce835bdd8728573d9fd
https://doi.org/10.1016/b978-0-444-81837-9.50019-1
https://doi.org/10.1016/b978-0-444-81837-9.50019-1
Conference
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