Network Generation Model Based on Multiple Centralities

Kosuke SHINODA; Yutaka MATSUO; Hideyuki NAKASHIMA

doi:10.3156/jsoft.20.410

Network Generation Model Based on Multiple Centralities

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics ◽

10.3156/jsoft.20.410 ◽

2008 ◽

Vol 20 (3) ◽

pp. 410-422

Author(s):

Kosuke SHINODA ◽

Yutaka MATSUO ◽

Hideyuki NAKASHIMA

Keyword(s):

Generation Model ◽

Network Generation ◽

Model Based

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Proposal of Network Generation Model based on Latent Preference Topic

Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication - IMCOM '18 ◽

10.1145/3164541.3164580 ◽

2018 ◽

Author(s):

Ikuto Akayama ◽

Yoshinori Hijikata ◽

Toshiya Kuramochi ◽

Nobuchika Sakata

Keyword(s):

Generation Model ◽

Network Generation ◽

Model Based

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High-Modularity Network Generation Model Based on the Muitilayer Network

Transactions of the Japanese Society for Artificial Intelligence ◽

10.1527/tjsai.b-h42 ◽

2017 ◽

Vol 32 (6) ◽

pp. B-H42_1-11

Author(s):

Chao Fan ◽

Fujio Toriumi

Keyword(s):

Generation Model ◽

Network Generation ◽

Model Based

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Action Generation Model Based on Changes in State Patterns

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.129.1690 ◽

2009 ◽

Vol 129 (9) ◽

pp. 1690-1698

Author(s):

Manabu Gouko ◽

Naoki Tomi ◽

Tomoaki Nagano ◽

Koji Ito

Keyword(s):

Generation Model ◽

Model Based

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What is the Reward for Handwriting? — A Handwriting Generation Model Based on Imitation Learning

2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR) ◽

10.1109/icfhr2020.2020.00030 ◽

2020 ◽

Author(s):

Keisuke Kanda ◽

Brian Kenji Iwana ◽

Seiichi Uchida

Keyword(s):

Imitation Learning ◽

Generation Model ◽

Model Based ◽

Handwriting Generation

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A generation model based on Kähler fermions

Physics Letters B ◽

10.1016/0370-2693(82)90686-4 ◽

1982 ◽

Vol 119 (4-6) ◽

pp. 348-350 ◽

Cited By ~ 16

Author(s):

I.M. Benn ◽

R.W. Tucker

Keyword(s):

Generation Model ◽

Model Based

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Fuzzy rule expression for emotional generation model based on subsumption architecture

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) ◽

10.1109/nafips.1999.781800 ◽

2003 ◽

Cited By ~ 7

Author(s):

Y. Maeda

Keyword(s):

Fuzzy Rule ◽

Generation Model ◽

Subsumption Architecture ◽

Model Based

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Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp40776.2020.9053795 ◽

2020 ◽

Cited By ~ 3

Author(s):

Ryuichi Yamamoto ◽

Eunwoo Song ◽

Jae-Min Kim

Keyword(s):

Generative Adversarial Networks ◽

Generation Model ◽

Model Based ◽

Adversarial Networks ◽

Waveform Generation

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A cell pattern generation model based on an extended artificial regulatory network

Biosystems ◽

10.1016/j.biosystems.2008.05.015 ◽

2008 ◽

Vol 94 (1-2) ◽

pp. 95-101 ◽

Cited By ~ 25

Author(s):

Arturo Chavoya ◽

Yves Duthen

Keyword(s):

Regulatory Network ◽

Pattern Generation ◽

Generation Model ◽

Cell Pattern ◽

Model Based ◽

A Cell

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A New Pitch Generation Model Based on Internal Dependence of Pitch Contour for Manadrin TTS System

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings ◽

10.1109/icassp.2006.1660127 ◽

2006 ◽

Author(s):

Jian Yu ◽

Wanzhi Zhang ◽

Jianhua Tao

Keyword(s):

Pitch Contour ◽

Generation Model ◽

Model Based

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Next-Generation Model-Based Drug Discovery and Development: Quantitative and Systems Pharmacology

Clinical Pharmacology & Therapeutics ◽

10.1038/clpt.2010.81 ◽

2010 ◽

Vol 88 (1) ◽

pp. 135-137 ◽

Cited By ~ 41

Author(s):

S R B Allerheiligen

Keyword(s):

Drug Discovery ◽

Generation Model ◽

Systems Pharmacology ◽

Next Generation ◽

Drug Discovery And Development ◽

Model Based

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