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 |