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Keiki Takadama
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Publications
- 2018
- [c120]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: 1418-1425 - [c119]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: 1457-1464 - [c118]Fumito Uwano, Koji Dobashi, Keiki Takadama, Tim Kovacs:
Generalizing rules by random forest-based learning classifier systems for high-dimensional data mining. GECCO (Companion) 2018: 1465-1472 - [c117]Caili Zhang, Takato Tatsumi, Hiyoyuki Sato, Tim Kovacs, Keiki Takadama:
Classifier generalization for comprehensive classifiers subsumption in XCS. GECCO (Companion) 2018: 1854-1861 - 2017
- [j53]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): 856-867 (2017) - [c105]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: 2630-2637 - 2016
- [j42]Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs:
Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. EAI Endorsed Trans. Collab. Comput. 2(8): e2 (2016) - [j39]Akinori Murata, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:
Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation. EAI Endorsed Trans. Self Adapt. Syst. 2(6): e5 (2016) - [c90]Kazuma Matsumoto, Yusuke Tajima, Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:
Learning classifier system with deep autoencoder. CEC 2016: 4739-4746 - [c89]Tim Kovacs, Simon Rawles, Larry Bull, Masaya Nakata, Keiki Takadama:
XCS-DH: Minimal default hierarchies in XCS. CEC 2016: 4747-4754 - [c88]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: 67-68 - [c87]Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:
Preventing Incorrect Opinion Sharing with Weighted Relationship Among Agents. HCI (5) 2016: 50-62 - [c81]Caili Zhang, Takato Tatsumi, Masaya Nakata, Keiki Takadama, Hiroyuki Sato, Tim Kovacs:
Extracting Different Abstracted Level Rule with Variance-Based LCS. SCIS&ISIS 2016: 160-165 - 2015
- [j36]Masaya Nakata, Tim Kovacs, Keiki Takadama:
XCS-SL: a rule-based genetic learning system for sequence labeling. Evol. Intell. 8(2-3): 133-148 (2015) - [c76]Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs:
Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. BICT 2015: 332-339 - [c75]Akinori Murata, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:
Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation. BICT 2015: 340-347 - [c69]Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Will Neil Browne, Keiki Takadama:
How should Learning Classifier Systems cover a state-action space? CEC 2015: 3012-3019 - 2014
- [c59]Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Keiki Takadama:
Complete action map or best action map in accuracy-based reinforcement learning classifier systems. GECCO 2014: 557-564 - [c58]Masaya Nakata, Tim Kovacs, Keiki Takadama:
A modified XCS classifier system for sequence labeling. GECCO 2014: 565-572 - [c48]Masaya Nakata, Tim Kovacs, Keiki Takadama:
Messy Coding in the XCS Classifier System for Sequence Labeling. PPSN 2014: 191-200 - 2008
- [e4]Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama:
Learning Classifier Systems, 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4998, Springer 2008, ISBN 978-3-540-88137-7 [contents] - 2007
- [e3]Tim Kovacs, Xavier Llorà, Keiki Takadama, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson:
Learning Classifier Systems, International Workshops, IWLCS 2003-2005, Revised Selected Papers. Lecture Notes in Computer Science 4399, Springer 2007, ISBN 978-3-540-71230-5 [contents]
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