Takato Tatsumi

According to our database, Takato Tatsumi authored at least 18 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Local Covering: Adaptive Rule Generation Method Using Existing Rules for XCS.

Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

XCS-CR for handling input, output, and reward noise.

Takato Tatsumi, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Comparison of Statistical Table- and Non-Statistical Table-based XCS in Noisy Environments.

Takato Tatsumi, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Knowledge Extraction from XCSR Based on Dimensionality Reduction and Deep Generative Models.

Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

XCS for Missing Attributes in Data.

Takato Tatsumi, Keiki Takadama

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

Classifier generalization for comprehensive classifiers subsumption in XCS.

Caili Zhang, Takato Tatsumi, Hiyoyuki Sato, Tim Kovacs, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

XCS-CR: determining accuracy of classifier by its collective reward in action set toward environment with action noise.

Takato Tatsumi, Tim Kovacs, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

XCSR based on compressed input by deep neural network for high dimensional data.

Kazuma Matsumoto, Ryo Takano, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Study of Analytical Methods on the Relationship between Sleep Quality and Stress with a focus on Human Circadian Rhythm.

Ryo Takano, Satoshi Hasegawa, Yuta Umenai, Takato Tatsumi, Keiki Takadama, Toru Shimuta, Toru Yabe, Hideo Matsumoto

Proceedings of the 2018 AAAI Spring Symposia, 2018

2017

Approach to Clustering with Variance-Based XCS.

Caili Zhang, Takato Tatsumi, Masaya Nakata, Keiki Takadama

J. Adv. Comput. Intell. Intell. Informatics, 2017

Learning Classifier System Based on Mean of Reward.

Takato Tatsumi, Hiroyuki Sato, Keiki Takadama

J. Adv. Comput. Intell. Intell. Informatics, 2017

Supporting the Exploration of the Learning Goals for a Continuous Learner Toward Creative Learning.

Takato Okudo, Tomohiro Yamaguchi, Akinori Murata, Takato Tatsumi, Fumito Uwano, Keiki Takadama

J. Adv. Comput. Intell. Intell. Informatics, 2017

XCSR Learning from Compressed Data Acquired by Deep Neural Network.

Kazuma Matsumoto, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama

J. Adv. Comput. Intell. Intell. Informatics, 2017

Automatic adjustment of selection pressure based on range of reward in learning classifier system.

Takato Tatsumi, Hiroyuki Sato, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Applying variance-based Learning Classifier System without Convergence of Reward Estimation into various Reward distribution.

Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Extracting Different Abstracted Level Rule with Variance-Based LCS.

Caili Zhang, Takato Tatsumi, Masaya Nakata, Keiki Takadama, Hiroyuki Sato, Tim Kovacs

Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

Variance-based Learning Classifier System without Convergence of Reward Estimation.

Takato Tatsumi, Takahiro Komine, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015

Handling different level of unstable reward environment through an estimation of reward distribution in XCS.

Takato Tatsumi, Takahiro Komine, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2015