The sources of new ideas and methods include practical developments in areas such as neural networks, quantum computation, ...
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Structural Equations in Language Learning.- On the Distinction between Model-Theoretic and Generative-Enumerative Syntactic ...
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This textbook covers logical and relational learning in depth, and hence provides an introduction to inductive logic programming ...
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This book constitutes the refereed proceedings of the 10th European Conference on Logics in Artificial Intelligence, JELIA ...
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This book constitutes the refereed proceedings of the 11th European Conference on Logics in Artificial Intelligence, JELIA ...
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Learning the diagnostic elements of lung pathology requires not only great familiarity with a wide diversity of cases, but ...
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Designed to help you make the most of your study time. Maximize your performance on the exam by learning to: * Monitor and ...
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This book introduces a new knowledge representation model called MDATA (Multi-dimensional Data Association and inTelligent ...
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Written by Scott A. Lipson, MD, an authority in the field, this book is ideal for radiologists, radiology residents, and ...
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Constitutes the refereed proceedings of the 4th Mexican International Conference on Artificial Intelligence, MICAI 2005, ...
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This volume contains the papers presented during the oral session of the 5 Mexican International Conference on Artificial ...
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The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized ...
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The 96 revised full papers presented together with 2 invited lectures were carefully reviewed and selected from 363 submissions. ...
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This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, ...
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Machine Learning - Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate ...
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Approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting ...
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Presents the key concepts of Machine Learning which includes Python concepts and Interpreter, Foundation of Machine Learning, ...
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Discusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic ...
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Covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ...
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This book introduces various machine learning methods for cyber security analytics. With an overwhelming amount of data being ...
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