Structural Equations in Language Learning.- On the Distinction between Model-Theoretic and Generative-Enumerative Syntactic ...
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Edited in collaboration with FoLLI, the Association of Logic, Language and Information, this book inaugurates the new FoLLI ...
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LOGICAL DATA MODELING: What It Is and How To Do IT is directed toward three groups of people: (1) Business subject matter ...
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This book constitutes the refereed proceedings of the International Symposium on Logical Foundations of Computer Science, ...
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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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The editors and authors are authorities on these specification languages and their application. Dedicated chapters address: ...
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Key to our culture is that we can disseminate information, and then maintain and access it over time. While we are rapidly ...
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This book introduces a new knowledge representation model called MDATA (Multi-dimensional Data Association and inTelligent ...
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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 offers the first systematic guide to machine ethics, bridging between computer science, social sciences and philosophy. ...
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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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This book introduces various machine learning methods for cyber security analytics. With an overwhelming amount of data being ...
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This book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. ...
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Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces: ...
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