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Technical Committee on Neurocomputing (NC)  (Searched in: 2006)

Search Results: Keywords 'from:2006-06-15 to:2006-06-15'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 20 of 31  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC 2006-06-15
10:00
Okinawa OIST A hidden Markov model for human information processing during a POMDP task
Masanori Okura, Wako Yoshida, Shin Ishii (NAIST)
 [more] NC2006-9
pp.1-6
NC 2006-06-15
10:20
Okinawa OIST Predicting sleep stages based on time-dependent hidden Markov model
Masako Yoshimura, Noboru Murata (Waseda Univ.)
 [more] NC2006-10
pp.7-12
NC 2006-06-15
10:40
Okinawa OIST Lateralization of posterior parietal cortex for internal movement estimation of self vs. other: an fMRI study
Kenji Ogawa, Toshio Inui (JST/Kyoto Univ.)
Internal estimation of movements is an essential component in human motor control. Movement estimation comprise two type... [more] NC2006-11
pp.13-18
NC 2006-06-15
11:10
Okinawa OIST Analysis of single neuronal activity in conditioned taste aversion
Kantaro Fujiwara (Univ. Tokyo), Hiroki Fujiwara, Minoru Tsukada (Tamagawa Univ.), Kazuyuki Aihara (Univ. Tokyo)
 [more] NC2006-12
pp.19-24
NC 2006-06-15
11:30
Okinawa OIST Statical Estimation of Phase Response Curve
Keisuke Ota, Toru Aonishi (Tokyo Tech)
 [more] NC2006-13
pp.25-29
NC 2006-06-15
11:50
Okinawa OIST Bayesian system identification method for biochemical reaction systems
Junichiro Yoshimoto, Kenji Doya (OIST)
In a computational approach to life science, computer simulation is essential for verifying hypothetical kinetic models ... [more] NC2006-14
pp.31-36
NC 2006-06-15
12:10
Okinawa OIST Predicting type of protein-protein interaction as a multiple-instance learning problem
Hiroshi Yamakawa, Yoshio Nakao, Koji Maruhashi (FUJITSU LAB.)
We propose a method for predicting types of protein-protein interactions using a multiple-instance learning (MIL) model.... [more] NC2006-15
pp.37-42
NC 2006-06-15
13:50
Okinawa OIST 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)
Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to... [more] NC2006-16
pp.43-48
NC 2006-06-15
14:10
Okinawa OIST *
Takeo Okazaki, Madoka Kamiya, , Morikazu Nakamura (yukyu Univ.)
DNA Microarray data, which are efficient for estimation and identification of genetic network, have a large variation du... [more] NC2006-17
pp.49-54
NC 2006-06-15
14:30
Okinawa OIST *
Koyo Namihira, Morikazu Nakamura, Takeo Okazaki (Ryukyu Univ.), (Axio Helix)
 [more] NC2006-18
pp.55-60
NC 2006-06-15
15:00
Okinawa OIST *
Masayuki Yamamura, (Titech)
 [more] NC2006-19
pp.61-64
NC 2006-06-15
15:20
Okinawa OIST Buliding a New Mutation Model based on Bayesian Networks and estimation by a modified Belief Propagation algorithm
Yoshinori Doi, Noboru Murata (Waseda Univ.)
 [more] NC2006-20
pp.65-70
NC 2006-06-15
15:40
Okinawa OIST Inference of ancestral RecA protein by EM algorithm
Yuri Nagai, Hitosi Kurumizaka, Noboru Murata (Waseda Univ.)
 [more] NC2006-21
pp.71-76
NC 2006-06-15
16:10
Okinawa OIST [Invited Talk] . -- . --
Shogo Endo (OIST)
 [more]
NC 2006-06-16
09:00
Okinawa OIST Reinforcement learning under constraints generated by multiple reward functions
Eiji Uchibe, Kenji Doya (OIST)
 [more] NC2006-22
pp.1-6
NC 2006-06-16
09:20
Okinawa OIST Learning igo by using neural networks and generalization to unknown situation
Yasuhiro Ogata, Noboru Murata (Waseda Univ.)
 [more] NC2006-23
pp.7-12
NC 2006-06-16
09:40
Okinawa OIST Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments
Hajime Fujita, Yutaka Nakamura, Shin Ishii (NAIST)
We propose a feature extraction technique for decision-theoretic planning problems in partially observable stochastic do... [more] NC2006-24
pp.13-18
NC 2006-06-16
10:10
Okinawa OIST A Method of Data Classification of Bagging Using HRGA/P and Its Applications
Hong Zhang, Masumi Ishikawa (K.I.T.)
To obtain a classification model with high generalization ability, we propose to use a hybrid real-coded genetic algorit... [more] NC2006-25
pp.19-24
NC 2006-06-16
10:30
Okinawa OIST On-line Boosting Method based on EM algorithm
Ryotaro Nishino, Noboru Murata (Waseda Univ.)
When the Adaboost algorithm is used in case that a datum is generated one after another, in general, all the learners ha... [more] NC2006-26
pp.25-30
NC 2006-06-16
10:50
Okinawa OIST A method for searching local minmum of free energy for which congergence is guaranteed
Yukinori Tonosaki, Yoshiyuki Kabashima (Titech)
 [more] NC2006-27
pp.31-36
 Results 1 - 20 of 31  /  [Next]  
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