Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2023 The Editor(s) (if applicable) and The Aut

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Sparse Distributed Memory for Sparse Distributed Data,mory. SDM as a neural network represents the functioning of noise and damage tolerant associative memory. BSDR represents methods of encoding holistic (structural) information in binary vectors. The idea of SDM- BSDR integration appeared long ago. However, SDM is inefficient in the role of BSDR clea

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,Quantum Displacements Dictated by Machine Learning Principles: Towards Optimization of Quantum Pathdeep knowledge of the interactions of system might be a remarkable advantage as to anticipate stochastic fluctuations as well as minimize the errors at the done measurements. Thus, in this paper a particular attention is paid on the mathematical characteristics of the quantum mechanics evolution ope

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Siamese Neural Network for Labeling Severity of Ulcerative Colitis Video Colonoscopy: A Thick Data models. This is a challenging requirement for many medical specialties. However, new research trends indicate that Siamese neural network can be trained with small samples and still provide acceptable accuracy, but this yet to be demonstrated for medical practices like identifying ulcerative coliti

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Self-supervised Contrastive Learning for Predicting Game Strategies,ores. However, the method of matching only the play score can easily lose interest because it does not consider the opponent’s playstyle or strategy. In this study, we propose a self-supervised contrastive learning framework that can enhance the understanding of game replay data to create a more sop