Ken Sato

According to our database1, Ken Sato authored at least 12 papers between 1998 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Design of a Nonvolatile-Neural-Network-Accelerator-Embedded Edge-IoT Device and Its Hardware Emulation.
Proceedings of the 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2023

2022
Probabilistic generative modeling and reinforcement learning extract the intrinsic features of animal behavior.
Neural Networks, 2022

Particle Filter Design Based on Reinforcement Learning and Its Application to Mobile Robot Localization.
IEICE Trans. Inf. Syst., 2022

2021
Adversarial Reinforcement Learning Based Robustification of Highlighted Map for Mobile Robot Localization.
Proceedings of the 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2021

2020
Highlighted Map for Mobile Robot Localization and Its Generation Based on Reinforcement Learning.
IEEE Access, 2020

2011
Simple Portfolio Strategies Utilizing Inflation Factor in Japanese Equity Market.
Proceedings of the International Conference on Computational Science, 2011

2010
A Freehand Scanning Method for Measuring EMF Distributions Using Magnetic Tracker.
IEICE Trans. Commun., 2010

2000
Decision making process via constraint-oriented fuzzy logic based on Chu space theory.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

1999
Fuzzy Logic as Interfacing Media for Contraint Propagation Based on Theories of Chu Space and Information Flow.
Proceedings of the New Directions in Rough Sets, 1999

Application of techniques of computational intelligence for constructing reliable decision support systems.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
A research concerning a concept generation and an action of an agent.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998

A consideration on the learning algorithm of neural network-utilization of the hierarchical structure stochastic automata for the backpropagation method with momentum.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998


  Loading...