[ad_1] Introduction Analogical reasoning has been recognized as a powerful cognitive process that enables individuals to transfer knowledge from one domain to another. This mechanism allows us to draw parallels between similar situations and apply…
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[ad_1] Introduction Commonsense reasoning is a fundamental aspect of human cognition that allows individuals to make inferences, draw conclusions, and navigate the complexities of everyday life based on a set of shared beliefs and assumptions.…
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[ad_1] Introduction Semantic web technology has emerged as a promising solution for organizing and extracting knowledge from the vast amount of information available on the internet. By using standardized metadata and ontologies, the semantic web…
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[ad_1] Introduction: Knowledge graphs have emerged as a powerful tool for representing structured knowledge in a variety of domains. These graphs provide a flexible and scalable way to capture relationships between entities and concepts, making…
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[ad_1] Introduction Neuroevolution is a computational method that combines the principles of artificial neural networks and evolutionary algorithms to enable learning and optimization in complex systems. By leveraging the adaptability of neural networks and the…
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[ad_1] Introduction Continual learning is a key concept in the field of artificial intelligence and machine learning, emphasizing the ability of a system to adapt and learn continuously from new data and experiences in order…
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[ad_1] Introduction Quantum computing has emerged as a revolutionary technology with the potential to solve complex problems that are intractable for classical computers. In recent years, there has been significant interest in leveraging the power…
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[ad_1] Introduction Bayesian neural networks (BNNs) have gained significant attention in recent years due to their ability to provide uncertainty estimates in neural network models. This is crucial in various applications such as medical diagnosis,…
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[ad_1] **Introduction** Siamese networks have gained significant attention in recent years for their ability to learn similarity between pairs of inputs in a variety of domains such as image recognition, natural language processing, and recommendation…
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[ad_1] Introduction Chapter 1: Introduction 1.1 The Introduction 1.2 Background of Study 1.3 Problem Statement 1.4 Objective of Study 1.5 Limitation of Study 1.6 Scope of Study 1.7 Significance of Study 1.8 Structure of the…
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