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Transfer Learning through Embedding Spaces provides a brief background on transfer learning and then focus on the idea of transferring knowledge through... Læs mere
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This book aims at providing a review of current Neural Network techniques in the NLP. The book is intended for a wide audience:... Læs mere
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Explainable AI methods have been proposed to tackle this issue by producing human interpretable representations of machine learning models while maintaining performance. These methods hold the potential to increase public acceptance and trust in AI-based ITS.
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Addressing the issue of Cyberbullying to find effective solutions is a challenge for the web mining community, particularly within... Læs mere
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With this practical guide, data scientists and ML engineers will learn how to bridge the gap between data science and Lean software... Læs mere
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This book analyzes how to set locations for the deployment of resources to incur the best performance at the lowest cost. Resources can be static nodes and moving nodes while services for a specific area or for customers can be provided.
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Generative Adversarial Networks (GANs) in Practice is an all-inclusive resource that provides a solid foundation on GAN methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts.
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This book gives a complete overview of cloud computing, its importance, its trends, innovations, and its amalgamation with other technologies. It provides content for reference.
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Situation Assessment in Aviation new aspects of soft computing technologies for evaluation and assessment of situations... Læs mere
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Our book will also introduce NAS due to its superiority and state-of-the-art performance in various applications, such as image classification and object detection.
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This concise and self-contained introduction builds up the spectral theory of graphs from scratch, including linear algebra and the theory of polynomials. Covering... Læs mere