2007 |
25 | EE | Yuki Togashi,
Takashi Omori,
Koichiro Yamauchi:
Model of driver eye motion based on driving plan and prediction of changes in the environment.
FOCI 2007: 289-295 |
24 | EE | Takashi Omori,
Ayami Yokoyama,
Hiroyuki Okada,
Satoru Ishikawa,
Yugo Nagata:
Computational Modeling of Human-Robot Interaction Based on Active Intention Estimation.
ICONIP (2) 2007: 185-192 |
23 | EE | Youhei Tadeuchi,
Ryuji Oshima,
Kyosuke Nishida,
Koichiro Yamauchi,
Takashi Omori:
Quick online feature selection method for regression -A feature selection method inspired by human behavior-.
SMC 2007: 1895-1900 |
2006 |
22 | EE | Yu Ohigashi,
Takashi Omori:
Modeling of autonomous problem solving process by dynamic construction of task models in multiple tasks environment.
Neural Networks 19(8): 1169-1180 (2006) |
21 | EE | Kyosuke Nishida,
Koichiro Yamauchi,
Takashi Omori:
An online learning algorithm with dimension selection using minimal hyper basis function networks.
Systems and Computers in Japan 37(11): 11-21 (2006) |
20 | EE | Akitoshi Ogawa,
Takashi Omori:
Acquisition of learning processing in a navigation task using a functional parts combination model.
Systems and Computers in Japan 37(4): 64-76 (2006) |
2005 |
19 | EE | Kyosuke Nishida,
Koichiro Yamauchi,
Takashi Omori:
ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments.
Multiple Classifier Systems 2005: 176-185 |
18 | EE | Akitoshi Ogawa,
Takashi Omori:
Computational Modeling of Symbolic Looking Processing in Brain.
WSTST 2005: 555-562 |
17 | EE | Akira Toyomura,
Takashi Omori:
A Computational Model for Taxonomy-Based Word Learning Inspired by Infant Developmental Word Acquisition.
IEICE Transactions 88-D(10): 2389-2398 (2005) |
2004 |
16 | EE | Akitoshi Ogawa,
Takashi Omori:
Knowledge Reusing Neural Learning System for Immediate Adaptation in Navigation Tasks.
ICONIP 2004: 409-415 |
15 | EE | Kyosuke Nishida,
Koichiro Yamauchi,
Takashi Omori:
An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks.
ICONIP 2004: 502-507 |
14 | | Akira Toyomura,
Takashi Omori:
Stochastic control system of basal ganglia and relation with stuttering.
Neural Networks and Computational Intelligence 2004: 31-36 |
2003 |
13 | EE | Takayuki Oohira,
Koichiro Yamauchi,
Takashi Omori:
Meta-learning for Fast Incremental Learning.
ICANN 2003: 157-164 |
12 | EE | Yu Ohigashi,
Takashi Omori,
Koji Morikawa,
Natsuki Oka:
Acceleration of Game Learning with Prediction-Based Reinforcement Learning - Toward the Emergence of Planning Behavior.
ICANN 2003: 786-796 |
2001 |
11 | EE | Hiroyuki Okada,
Hiroshi Yamakawa,
Takashi Omori:
Two Dimensional Evaluation Reinforcement Learning.
IWANN (1) 2001: 370-377 |
1999 |
10 | | Yoshiyuki Mitsumori,
Takashi Omori:
Segmentation of Occluded Using a Hybrid of Selective Attention and Symbolic Knowledge.
IWANN (1) 1999: 826-839 |
9 | EE | Kazuyuki Samejima,
Takashi Omori:
Adaptive internal state space construction method for reinforcement learning of a real-world agent.
Neural Networks 12(7-8): 1143-1155 (1999) |
8 | EE | Takashi Omori,
Akiko Mochizuki,
Kentaro Mizutani,
M. Nishizaki:
Emergence of symbolic behavior from brain like memory with dynamic attention.
Neural Networks 12(7-8): 1157-1172 (1999) |
1998 |
7 | | Shiro Usui,
Takashi Omori:
The Fifth International Conference on Neural Information Processing, ICONIP'R98, Kitakyushu, Japan, October 21-23, 1998, Proceedings
IOA Press 1998 |
6 | | Kentaro Mizutani,
Takashi Omori:
Path Planning of Moving Robot by Discrete State Transition of Associative Memory.
ICONIP 1998: 118-122 |
5 | | Hiroyuki Okada,
Hiroshi Yamakawa,
Takashi Omori:
Neural Network Model for the Perseveration Behavior of Frontal Lobe Injured Patients.
ICONIP 1998: 1465-1469 |
4 | | Kazuyuki Samejima,
Takashi Omori:
Adaptive State Space Formation in Reinforcement Learning.
ICONIP 1998: 251-255 |
3 | | H. Koizumi,
T. Ochiai,
T. Okahashi,
Y. Yamashita,
A. Maki,
T. Yamamoto,
Y. Inagami,
H. Yoshizawa,
M. Iwata,
Takashi Omori,
Moritoshi Yasunaga:
Dynamic Optical Topography and the Real-Time PDP Chip: An Analytical and Synthetical Approach to Higher-Order Brain Functions.
ICONIP 1998: 337-340 |
1997 |
2 | | Kentaro Mizutani,
Takashi Omori:
A Model of Logic Like Inference by Memory Model PATON.
ICANN 1997: 775-780 |
1995 |
1 | EE | Atsushi Hiroike,
Takashi Omori:
Noise-induced order in the randomly asymmetric Hopfield model.
Neural Networks 8(2): 229-236 (1995) |