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Introduce structural equation modelling to machine learning problems for building an explainable and persuasive model

SICE Journal of Control, Measurement, and System Integration, 2021-06, Vol.14 (2), p.67-79

2021

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Data Dimensionality Reduction by Introducing Structural Equation Modeling to Machine Learning Problems

2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), 2020, p.826-831

2020

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Learning in robotics. Design of Resource-Bounded Agent and Conceptual Learning

Journal of the Robotics Society of Japan, 1995, Vol.13 (1), p.44-50

Sawaragi, Tetsuo

1995

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Effective Integration of Imitation Learning and Reinforcement Learning by Generating Internal Reward

2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008, Vol.3, p.121-126

2008

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Knowledge Acquisition and Instruction

Journal of the Robotics Society of Japan, 1995/07/15, Vol.13(5), pp.588-591

Sawaragi, Tetsuo

1995

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Design of Resource-Bounded Agent and Conceptual Learning

Journal of the Robotics Society of Japan, 1995/01/15, Vol.13(1), pp.44-50

Sawaragi, Tetsuo

1995

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Methods of Coding and Compiling Elementary Pieces of Design Knowledge for Conceptual Design Support

Transactions of the Society of Instrument and Control Engineers, 1997/07/31, Vol.33(7), pp.723-731

1997

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Modelling Recognition-Primed Decision Making Under Time Pressure and Multiple Situational Contexts

IFAC Proceedings Volumes, 1998-09, Vol.31 (26), p.227-232

1998

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Controlling the process of learning from an example through adaptive generalization of episodic memory

Fuzzy sets and systems, 1991-01, Vol.39 (2), p.133-162

1991

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Organizational Learning in Concurrent and Collaborative Design Activity: Emergence of Divergent Roles and Shared Tacit Knowledge

IFAC Proceedings Volumes, 1998-07, Vol.31 (20), p.763-768

1998

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Realtime Decision Support System for Plant Operators Using Concept Formation Method

IFAC Proceedings Volumes, 1996-06, Vol.29 (1), p.5751-5756

1996

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Introduce structural equation modelling to machine learning problems for building an explainable and persuasive model

Data Dimensionality Reduction by Introducing Structural Equation Modeling to Machine Learning Problems

Learning in robotics. Design of Resource-Bounded Agent and Conceptual Learning

Effective Integration of Imitation Learning and Reinforcement Learning by Generating Internal Reward

Knowledge Acquisition and Instruction

Design of Resource-Bounded Agent and Conceptual Learning

Methods of Coding and Compiling Elementary Pieces of Design Knowledge for Conceptual Design Support

Modelling Recognition-Primed Decision Making Under Time Pressure and Multiple Situational Contexts

Controlling the process of learning from an example through adaptive generalization of episodic memory

Organizational Learning in Concurrent and Collaborative Design Activity: Emergence of Divergent Roles and Shared Tacit Knowledge

Realtime Decision Support System for Plant Operators Using Concept Formation Method

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