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Knowledge Acquisition and Machine Learning

For graduate-/research- level students and professors, this book integrates machine learning with knowledge acquisition to overcome the;

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Advances in Knowledge Acquisition and Management

knowledge acquisition, algorithm approaches to knowledge acquisition, incremental knowledge acquisition and RDR, as well as machine learning and;

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Machine Learning Theoretical Foundations and Practical Applications

learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web;

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Artificial Intelligence XXXVI

topical sections: machine learning; knowledge discovery and data mining; agents, knowledge acquisition and ontologies; medical applications;

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Knowledge Acquisition: Approaches, Algorithms and Applications

papers are organized in topical sections on machine learning and data mining, incremental knowledge acquisition, web-based techniques and;

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Advances in Machine Learning and Computational Intelligence

This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence;

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Knowledge Management and Acquisition for Intelligent Systems

This book constitutes the proceedings of the 16th International Workshop on Knowledge Management and Acquisition for Intelligent Systems;

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The Acquisition of Syntactic Knowledge

of English grammar can be learned by a simple program. The Acquisition of Syntactic Knowledge investigates the central questions of human and machine;

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Information-Theoretic Methods in Data Science

-theoretic methods are being used in data acquisition, data representation, data analysis, and statistics and machine learning. Coverage is broad;

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Introduction to Data Mining and its Applications

, knowledge acquisition, information retrieval, high performance computing and data visualization.;

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AAAI-90

, design, diagnosis, simulation. Impacts of AI Technology: organizational, economic, and social implications. Knowledge Acquisition and Expert;

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Advances in Knowledge Discovery and Data Mining

KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic;

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Ontology Learning from Text

This volume brings together ontology learning, knowledge acquisition and other related topics. It presents current research in ontology;

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical;

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Machine Learning and Knowledge Discovery in Databases

This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD;

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Statistical Modelling and Machine Learning Principles for Bioinformatics Techniq

This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas;

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AI 2019: Advances in Artificial Intelligence

were organized in topical sections named: game and multiagent systems; knowledge acquisition, representation, reasoning; machine learning and;

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Machine Learning and Systems Engineering

A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October;

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Machine Learning and Knowledge Discovery in Databases

Learning and Knowledge Discovery in Databases, ECML PKDD, held in Wurzburg, Germany, in September 2019. The 70 full papers and 46 short papers;

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Machine Learning with scikit-learn Quick Start Guide

Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering;

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Serious Games in Personalized Learning: New Models for Design and Performance

Serious Games in Personalized Learning investigates game-based teaching and learning at a time when learning and training systems are;

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Serious Games in Personalized Learning: New Models for Design and Performance

Serious Games in Personalized Learning investigates game-based teaching and learning at a time when learning and training systems are;

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Thinking Machines

Thinking Machines: Machine Learning and Its Hardware Implementation covers the theory and application of machine learning, neuromorphic;

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Implicit and Explicit Knowledge in Second Language Learning, Testing and Teaching

this distinction applies to L2 learning, knowledge and instruction. It then reports a series of studies describing the development of a battery;

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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

Prepare to achieve AWS Machine Learning Specialty certification with this complete, up-to-date guide and take the exam with confidence;

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Knowledge Engineering, Machine Learning and Lattice Computing with Applications

selected from 130 submissions. The papers are organized in topical sections on bioinspired and machine learning methods, machine learning;

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Machine Learning and Knowledge Discovery in Databases

Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short;

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