Zobrazeno 1 - 10 of 189 pro vyhledávání: '"Kazutoshi Tanabe"'
3
Analysis of Determinants of Happiness of Many Countries by Using Support Vector Machine (in Japanese)
Autor: Kazutoshi TANABE, Takahiro SUZUKI
Publikováno v: Economic Analysis. 188:46-60
A large-scale empirical experiment to analyze determinants of national happiness of human well-beings has been carried out based on happiness data of nations in the world as dependent variable and numerous factors as explanatory variables. The correl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______645::905496cdcbd387d5cd7eeba51854e725
http://www.esri.go.jp/jp/archive/bun/bun188/bun188c.pdf
Zobrazit plný text záznamu
6
Prediction of carcinogenicity for diverse chemicals based on substructure grouping and SVM modeling
Autor: Takahiro Suzuki, Dragan Amić, Takio Kurita, Kazutoshi Tanabe, Natsuo Onodera, Mikio Kaihara, Bono Lučić
Publikováno v: Molecular Diversity. 14:789-802
The Carcinogenicity Reliability Database (CRDB) was constructed by collecting experimental carcinogenicity data on about 1, 500 chemicals from six sources, including IARC, and NTP databases, and then by ranking their reliabilities into six unified ca
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d892fea8d85bfd008a504b60118ef42a
https://doi.org/10.1007/s11030-010-9232-y
Zobrazit plný text záznamu
7
Prediction of Carcinogenicity of Noncongeneric Chemical Substances by a Support Vector Machine
Autor: Natsuo Onodera, Kazutoshi Tanabe, Takahiro Suzuki, Mikio Kaihara
Publikováno v: Journal of Computer Chemistry, Japan. 7:93-102
定量的構造活性相関に基づき、多種多様な化学物質の発ガン性をその構造から高い精度で予測する手法として、サポートベクターマシン（SVM）を検討した。ニューラルネットワーク（ANN
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9fae862d680ebed28505ec909bf06f9f
https://doi.org/10.2477/jccj.h1921
Zobrazit plný text záznamu
8
Toxicity Information and Its QSAR Prediction of Chemical Substances
Autor: Takahiro Suzuki, Shuichiro Ono, Takatoshi Matsumoto, Umpei Nagashima, Kazutoshi Tanabe, Norihito Ohmori, Hiroyuki Uesaka
Publikováno v: Joho Chishiki Gakkaishi. 16:63-84
近年, 化学物質の毒性に関する情報の取得が地球的な規模で喫緊の課題となっている. しかし, 動物を用いる安全性試験は莫大な時間と費用がかかるため, 毒性が未知の全ての化学物質に
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9fc59ca5ec5ad794ef9b0b7b7256efd9
https://doi.org/10.2964/jsik.16.3_63
Zobrazit plný text záznamu
9
Neural Network Prediction of Carcinogenicity of Diverse Organic Compounds
Autor: Umpei Nagashima, Takahiro Suzuki, Norihito Ohmori, Kazutoshi Tanabe, Hiroyuki Uesaka, Shuichiro Ono, Takatoshi Matsumoto
Publikováno v: Journal of Computer Chemistry, Japan. 4:89-100
広範囲の化学物質について構造活性相関により化学構造から有害性を高い精度で予測するモデルを開発することを目指して、ニューラルネットワークを用いて発ガン性のデータを解析し
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8253a2cf171bf30e660cb1bcef14f81a
https://doi.org/10.2477/jccj.4.89
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje