Print edition: ISSN 0913-5685
[TOP] | [2006] | [2007] | [2008] | [2009] | [2010] | [2011] | [2012] | [Japanese] / [English]
NC2006-9
A hidden Markov model for human information processing during a POMDP task
Masanori Okura, Wako Yoshida, Shin Ishii (NAIST)
pp. 1 - 6
NC2006-10
Predicting sleep stages based on time-dependent hidden Markov model
Masako Yoshimura, Noboru Murata (Waseda Univ.)
pp. 7 - 12
NC2006-11
Lateralization of posterior parietal cortex for internal movement estimation of self vs. other: an fMRI study
Kenji Ogawa, Toshio Inui (JST／Kyoto Univ.)
pp. 13 - 18
NC2006-12
Analysis of single neuronal activity in conditioned taste aversion
Kantaro Fujiwara (Univ. Tokyo), Hiroki Fujiwara, Minoru Tsukada (Tamagawa Univ.), Kazuyuki Aihara (Univ. Tokyo)
pp. 19 - 24
NC2006-13
Statical Estimation of Phase Response Curve
Keisuke Ota, Toru Aonishi (Tokyo Tech)
pp. 25 - 29
NC2006-14
Bayesian system identification method for biochemical reaction systems
Junichiro Yoshimoto, Kenji Doya (OIST)
pp. 31 - 36
NC2006-15
Predicting type of protein-protein interaction as a multiple-instance learning problem
Hiroshi Yamakawa, Yoshio Nakao, Koji Maruhashi (FUJITSU LAB.)
pp. 37 - 42
NC2006-16
Drug-response prediction from microarray data using network-based de-noising
Tsuyoshi Kato (Univ. of Tokyo), Koh Miura, Yukio Murata (Tohoku Univ.), Kiyoshi Asai (Univ. of Tokyo), Paul B. Horton, Wataru Fujibuchi, Koji Tsuda (AIST)
pp. 43 - 48
NC2006-17
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Takeo Okazaki, Madoka Kamiya, , Morikazu Nakamura (yukyu Univ.)
pp. 49 - 54
NC2006-18
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Koyo Namihira, Morikazu Nakamura, Takeo Okazaki (Ryukyu Univ.), (Axio Helix)
pp. 55 - 60
NC2006-19
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Masayuki Yamamura, (Titech)
pp. 61 - 64
NC2006-20
Buliding a New Mutation Model based on Bayesian Networks and estimation by a modified Belief Propagation algorithm
Yoshinori Doi, Noboru Murata (Waseda Univ.)
pp. 65 - 70
NC2006-21
Inference of ancestral RecA protein by EM algorithm
Yuri Nagai, Hitosi Kurumizaka, Noboru Murata (Waseda Univ.)
pp. 71 - 76
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.