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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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Artificial Intelligence XXXVI

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

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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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Machine Vision Algorithms and Applications

developments of recent years in the fields of image acquisition, machine vision algorithms and applications. The new content includes, but is not;

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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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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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Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence

While cognitive informatics and natural intelligence are receiving greater attention by researchers, multidisciplinary approaches still;

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Neural Networks And Artificial Intelligence For Biomedical Engineering

algorithms Knowledge representation, knowledge acquisition, and reasoning methodologies Chaotic analysis of biomedical time series;

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Research and Development in Intelligent Systems XXXII

Learning and Knowledge Acquisition, and AI in Action, followed by application stream sections on Applications of Genetic Algorithms, Applications;

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Hurbans:Grokking Artificial Int_p1

scientists. Grokking Artificial Intelligence Algorithms is a fully-illustrated and interactive tutorial guide to the different approaches;

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Time-of-Flight and Structured Light Depth Cameras

acquisition to the mass market. It covers both the theoretical principles behind the acquisition devices and the practical implementation aspects;

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Automating Software Design

compilation, knowledge-based program optimization, formal derivation systems, and cognitive and planning approaches to software design.

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A Guided Tour of Artificial Intelligence Research

The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much;

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Graph Algorithms And Applications 3

This book contains Volume 6 of the Journal of Graph Algorithms and Applications (JGAA). JGAA is a peer-reviewed scientific journal devoted;

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Graph Algorithms And Applications 5

This book contains Volume 8 of the Journal of Graph Algorithms and Applications (JGAA). JGAA is a peer-reviewed scientific journal devoted;

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Graph Algorithms And Applications 4

This book contains Volume 7 of the Journal of Graph Algorithms and Applications (JGAA). JGAA is a peer-reviewed scientific journal devoted;

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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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Knowledge Management and Acquisition for Intelligent Systems

This book constitutes the proceedings of the 15th International Workshop on Knowledge Management and Acquisition for Intelligent Systems;

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Theory and Applications of Satisfiability Testing SAT 2020

reformulations, applications (including both novel application domains and improvements to existing approaches), as well as case studies and reports on;

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Machine Vision Algorithms and Applications

algorithms. The first part covers image acquisition, including illumination, lenses, cameras, frame grabbers, and bus systems, while the second deals;

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Pattern Recognition Applications in Engineering

The implementation of data and information analysis has become a trending solution within multiple professions. New tools and approaches;

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Digital Terrain Modeling

, interpolation techniques, on-line and off-line quality control in data acquisition, DTM accuracy assessment and mathematical models for DTM accuracy;

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Bilevel Programming Problems: Theory, Algorithms and Applications to Energy Networks

This book describes recent theoretical findings relevant to bilevel programming in general, and in mixed-integer bilevel programming;

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Knowledge Based Bioinformatics

to genomic and proteomic research. This book discussesknowledge-based and statistical approaches, along with applicationsin bioinformatics;

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EEG-Based Brain-Computer Interfaces

acquisition and control.;

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Event Mining

event mining approaches and applications with a focus on computing system management. The book first explains how to transform log data;

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Computational Learning Approaches to Data Analytics in Biomedical Applications

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis;

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