Structural Equations in Language Learning.- On the Distinction between Model-Theoretic and Generative-Enumerative Syntactic ...
WeiterlesenThis textbook covers logical and relational learning in depth, and hence provides an introduction to inductive logic programming ...
WeiterlesenThis book constitutes the refereed proceedings of the 10th European Conference on Logics in Artificial Intelligence, JELIA ...
WeiterlesenThis book constitutes the refereed proceedings of the 11th European Conference on Logics in Artificial Intelligence, JELIA ...
WeiterlesenThis book introduces a new knowledge representation model called MDATA (Multi-dimensional Data Association and inTelligent ...
WeiterlesenConstitutes the refereed proceedings of the 4th Mexican International Conference on Artificial Intelligence, MICAI 2005, ...
WeiterlesenThis volume contains the papers presented during the oral session of the 5 Mexican International Conference on Artificial ...
WeiterlesenThe Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized ...
WeiterlesenThe 96 revised full papers presented together with 2 invited lectures were carefully reviewed and selected from 363 submissions. ...
WeiterlesenThis book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, ...
WeiterlesenMachine Learning - Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate ...
WeiterlesenApproaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting ...
WeiterlesenPresents the key concepts of Machine Learning which includes Python concepts and Interpreter, Foundation of Machine Learning, ...
WeiterlesenCovers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ...
WeiterlesenThis book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. ...
WeiterlesenPascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces: ...
WeiterlesenProvides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. ...
WeiterlesenProviding a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all ...
Weiterlesencovers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud ...
WeiterlesenThis book provides a comprehensive coverage of the most important machine learning techniques used and their application ...
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