Takato Tatsumi

Publication Activity (10 Years)

Years Active: 2015-2020
Publications (10 Years): 17

Top Topics

Dimensional Data

Classifier Systems

Dimensionality Reduction

Rule Generation

Top Venues

GECCO (Companion)

J. Adv. Comput. Intell. Intell. Informatics

Publications

Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama
Local Covering: Adaptive Rule Generation Method Using Existing Rules for XCS. CEC (2020)
Takato Tatsumi, Keiki Takadama
XCS-CR for handling input, output, and reward noise. GECCO (Companion) (2019)
Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama
Knowledge Extraction from XCSR Based on Dimensionality Reduction and Deep Generative Models. CEC (2019)
Takato Tatsumi, Keiki Takadama
Comparison of Statistical Table- and Non-Statistical Table-based XCS in Noisy Environments. CEC (2019)
Takato Tatsumi, Keiki Takadama
XCS for Missing Attributes in Data. SCIS&ISIS (2018)
Kazuma Matsumoto, Ryo Takano, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
XCSR based on compressed input by deep neural network for high dimensional data. GECCO (Companion) (2018)
Caili Zhang, Takato Tatsumi, Hiyoyuki Sato, Tim Kovacs, Keiki Takadama
Classifier generalization for comprehensive classifiers subsumption in XCS. GECCO (Companion) (2018)
Ryo Takano, Satoshi Hasegawa, Yuta Umenai, Takato Tatsumi, Keiki Takadama, Toru Shimuta, Toru Yabe, Hideo Matsumoto
Study of Analytical Methods on the Relationship between Sleep Quality and Stress with a focus on Human Circadian Rhythm. AAAI Spring Symposia (2018)
Takato Tatsumi, Tim Kovacs, Keiki Takadama
XCS-CR: determining accuracy of classifier by its collective reward in action set toward environment with action noise. GECCO (Companion) (2018)
Kazuma Matsumoto, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
XCSR Learning from Compressed Data Acquired by Deep Neural Network. J. Adv. Comput. Intell. Intell. Informatics 21 (5) (2017)
Takato Okudo, Tomohiro Yamaguchi, Akinori Murata, Takato Tatsumi, Fumito Uwano, Keiki Takadama
Supporting the Exploration of the Learning Goals for a Continuous Learner Toward Creative Learning. J. Adv. Comput. Intell. Intell. Informatics 21 (5) (2017)
Takato Tatsumi, Hiroyuki Sato, Keiki Takadama
Learning Classifier System Based on Mean of Reward. J. Adv. Comput. Intell. Intell. Informatics 21 (5) (2017)
Takato Tatsumi, Hiroyuki Sato, Keiki Takadama
Automatic adjustment of selection pressure based on range of reward in learning classifier system. GECCO (2017)
Caili Zhang, Takato Tatsumi, Masaya Nakata, Keiki Takadama
Approach to Clustering with Variance-Based XCS. J. Adv. Comput. Intell. Intell. Informatics 21 (5) (2017)
Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
Applying variance-based Learning Classifier System without Convergence of Reward Estimation into various Reward distribution. CEC (2017)
Takato Tatsumi, Takahiro Komine, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama
Variance-based Learning Classifier System without Convergence of Reward Estimation. GECCO (Companion) (2016)
Caili Zhang, Takato Tatsumi, Masaya Nakata, Keiki Takadama, Hiroyuki Sato, Tim Kovacs
Extracting Different Abstracted Level Rule with Variance-Based LCS. SCIS&ISIS (2016)
Takato Tatsumi, Takahiro Komine, Hiroyuki Sato, Keiki Takadama
Handling different level of unstable reward environment through an estimation of reward distribution in XCS. CEC (2015)