Masaya Nakata

Current Position

  • 3rd Year Ph.D. Candidate in Informatics. The University of Electro-Communications.
  • Research Fellow. Japan Society for the Promotion of Science.
  • See CV:   here.

Research Interests

  • Learning Classifier System: Algorithm & Theory
  • Data mining: Knowledge Representation & Sequence Labeling

Research Visits

  • Feb. – May 2012, Jan. 2013. Research Visiting Student. Politecnico di Milano, Milan, Italy. Mentor: Dr. Pier Luca Lanzi.
  • Nov. 2013 -Sep.2014. Research Visiting Student. University of Bristol, Bristol, UK. Mentor: Dr. Tim Kovacs.
  • Sep. 2014 -Dec 2014. Research Visiting Student. Victoria University of Wellington, Wellington, New Zealand. Mentor: Dr. Will Browne.

Selected Publications

  1. Google Scholar Page: here.
  2. DBLP: here.

Papers.

  1. Masaya Nakata, Tomohiro Harada, Hiroyasu Matsushima, Keiki Takadama. Promoting Generalization in Identification Based Learning Classifier System, Transactions of the Society of Instrument and Control Engineers, Vol.47. No.11, pp. 581-590, 2011, in Japanese.
  2. Masaya Nakata, Tomohiro Harada, Keiji Sato, Hiroyasu Matsushima, Keiki Takadama. Performance Improvement by Identification-based XCS Using Predicted Reward, Transactions of the Society of Instrument and Control Engineers, Vol.48. No.11, pp. 713-722, 2012, in Japanese.
  3. Masaya Nakata, Pier Luca Lanzi, Yusuke Tajima, Keiki Takadama. Rule Reduction in Learning Classifier System using Compact Genetic Algorithm, Transactions on Mathematical Modeling and its Applications, Vol.7 No. 2, pp.1-16, in Japanese [link].
  4. Masaya Nakata, Tim Kovacs, Keiki Takadama. XCS-SL: A Rule-based Genetic Learning System for Sequence Labeling, Evolutionary Intelligence, Springer Berlin Heidelberg, DOI:10.1007/s12065-015-0127-9 [link].
  5. Masaya Nakata, Pier Luca Lanzi, Keiki Takadama. XCS-SL: Rule Reduction by Selection Strategy in XCS with Adaptive Action Map, Evolutionary Intelligence, Springer Berlin Heidelberg, DOI:10.1007/s12065-015-0130-1 [link].

– Proceedings.

  1. Masaya Nakata, Fumiaki Sato, Keiki Takadama. Towards Generalization by Identification-based XCS in Multi-steps Problem, Third World Congress on Nature and Biologically Inspired Computing (NaBIC2011), pp.396-401, October 2011.
  2. Masaya Nakata, Pier Luca Lanzi, Keiki Takadama. Enhancing Learning Capabilities by XCS with Best Action Mapping, Parallel Problem Solving From Nature (PPSN XII), LNCS7491, Springer, pp.256-265, September 2012.
  3. Masaya Nakata, Pier Luca Lanzi, Keiki Takadama. XCS with Adaptive Action Mapping, The Ninth International Conference on Simulated Evolution And Learning (SEAL 2012), LNCS7673, Springer, pp.138-148, December 2012.
  4. Masaya Nakata, Pier Luca Lanzi, Keiki Takadama. Simple Compact Genetic Algorithm for XCS, IEEE Congress on Evolutionary Computation 2013 (CEC 2013), pp.1718-1723, June 2013.
  5. Masaya Nakata, Pier Luca Lanzi, Keiki Takadama. Selection Strategy for XCS with Adaptive Action Mapping, Genetic and Evolutionary Computation Conference 2013 (GECCO 2013), pp.1085-1092, July 2013.
  6. Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Keiki Takadama. Complete action map or Best action map in Accuracy-based Reinforcement Learning Classifier Systems, Genetic and Evolutionary Computation Conference 2014 (GECCO 2014), pp.557-564, July 2014.
  7. Masaya Nakata, Tim Kovacs, Keiki Takadama. A Modified XCS Classifier System for Sequence Labeling, Genetic and Evolutionary Computation Conference 2014 (GECCO 2014), pp. 565-572, July 2014.
  8. Masaya Nakata, Tim Kovacs, Keiki Takadama, Messy Coding in the XCS Classifier System for Sequence Labeling, 13th International Conference on Parallel Problem Solving from Nature (PPSN2014), Lecture Notes in Computer Science Vol. 8672, pp 191-200, Slovenia.
  9. Keiki Takadama and Masaya Nakata, Extracting Both Generalized and Specialized Knowledge by XCS using Attribute Tracking and Feedback, IEEE Congress on Evolutionary Computation 2015 (CEC 2015), Sendai, Japan, accepted.

Awards, Grants & Honors.

  1. Student Award (Academic achievement). The University of Electro-Communications, 2009.
  2. Student Award (Research achievement). The University of Electro-Communications, 2010.
  3. Megurokai Award (Research achievement). The University of Electro-Communications, 2010.
  4. Best Poster Award. Japanese Symposium of Evolutionary Computation 2010, 2010.
  5. Student Award (Research achievement). The University of Electro-Communications, 2012.
  6. Best Presentation (Paper) Award. Japanese Symposium of Evolutionary Computation 2012, 2012.
  7. IEEE CIS Japan Chapter Young Researcher Award. Japanese Symposium of Evolutionary Computation 2012, 2012.
  8. Young Researcher Award. The Institute of Systems, Control and Information Engineers, 2013.
  9. Travel Grant For Young Researcher. Japan Society for the Promotion of Science, 2013.
  10. GECCO Student Travel Grant. Association for Computing Machinery (ACM), 2014.

Committee Assignments

  1. Co-organizer of New Directions of Evolutionary Machine Learning,  2015 IEEE Congress on Evolutionary Computation (CEC2015).
  2. Co-organizer of International Workshop on Learning Classifier Systems, 2014-2016.

 

Link