Takato Tatsumi
Takato Tatsumi
電気通信大学
Verified email at uec.ac.jp - Homepage
Title
Cited by
Cited by
Year
XCSR based on compressed input by deep neural network for high dimensional data
K Matsumoto, R Takano, T Tatsumi, H Sato, T Kovacs, K Takadama
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
62018
Variance-based learning classifier system without convergence of reward estimation
T Tatsumi, T Komine, M Nakata, H Sato, T Kovacs, K Takadama
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016
62016
Handling different level of unstable reward environment through an estimation of reward distribution in XCS
T Tatsumi, T Komine, H Sato, K Takadama
2015 IEEE Congress on Evolutionary Computation (CEC), 2973-2980, 2015
62015
XCSR learning from compressed data acquired by deep neural network
K Matsumoto, T Tatsumi, H Sato, T Kovacs, K Takadama
Journal of advanced computational intelligence and intelligent informatics …, 2017
52017
A learning classifier system that adapts accuracy criterion
T Tatsumi, T Komine, M Nakata, H Sato, K Takadama
Transaction of the Japanese Society for Evolutionary Computation 6 (2), 90-103, 2015
52015
Knowledge Extraction from XCSR Based on Dimensionality Reduction and Deep Generative Models
M Tadokoro, S Hasegawa, T Tatsumi, H Sato, K Takadama
2019 IEEE Congress on Evolutionary Computation (CEC), 1883-1890, 2019
32019
XCS-CR: determining accuracy of classifier by its collective reward in action set toward environment with action noise
T Tatsumi, T Kovacs, K Takadama
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
32018
Automatic adjustment of selection pressure based on range of reward in learning classifier system
T Tatsumi, H Sato, K Takadama
Proceedings of the Genetic and Evolutionary Computation Conference, 505-512, 2017
32017
XCS-CR for handling input, output, and reward noise
T Tatsumi, K Takadama
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
22019
SLIM Spacecraft Location Estimation by Crater Matching Based on Similar Triangles and Its Improvement
H Ishii, A Murata, F Uwano, T Tatsumi, Y Umenai, K Takadama, T Harada, ...
AeTJa 17, 69-78, 2018
22018
Learning Classifier System Based on Mean of Reward
T Tatsumi, H Sato, K Takadama
Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2017
22017
Applying variance-based learning classifier system without convergence of reward estimation into various reward distribution
T Tatsumi, H Sato, T Kovacs, K Takadama
2017 IEEE Congress on Evolutionary Computation (CEC), 2630-2637, 2017
22017
Comparison of Statistical Table-and Non-Statistical Table-based XCS in Noisy Environments
T Tatsumi, K Takadama
2019 IEEE Congress on Evolutionary Computation (CEC), 1875-1882, 2019
12019
Acquiring Classifiers for Bipolarized Reward by XCS in a Continuous Reward Environment
T Tatsumi, K Takadama
SICE Journal of Control, Measurement, and System Integration 12 (3), 124-132, 2019
12019
Study of Analytical Methods on the Relationship between Sleep Quality and Stress with a focus on Human Circadian Rhythm
R Takano, S Hasegawa, Y Umenai, T Tatsumi, K Takadama, T Shimuta, ...
2018 AAAI Spring Symposium Series, 2018
12018
Approach to Clustering with Variance-Based XCS
C Zhang, T Tatsumi, M Nakata, K Takadama
Journal of advanced computational intelligence and intelligent informatics …, 2017
12017
The robust spacecraft locaiton estimation algorithm toward the misdetection crater and the undetected crater in SLIM
H Ishii, K TAKADAMA, A MURATA, F UWANO, T TATSUMI, Y UMENAI, ...
ISTS, 2017
12017
Local Covering: Adaptive Rule Generation Method Using Existing Rules for XCS
M Tadokoro, S Hasegawa, T Tatsumi, H Sato, K Takadama
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
2020
サイス ジェイシムシ
T TATSUMI, K TAKADAMA
サイス ジェイシムシ 12 (3), 124-132, 2019
2019
XCS for Missing Attributes in Data
T Tatsumi, K Takadama
2018 Joint 10th International Conference on Soft Computing and Intelligent …, 2018
2018
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Articles 1–20