Lecture Notes in Computational Intelligence and Decision Making

Lecture Notes in Computational Intelligence and Decision Making PDF

Author: Sergii Babichev

Publisher: Springer Nature

Published: 2021-07-22

Total Pages: 805

ISBN-13: 3030820149

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This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis, and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning creates the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing. The book contains of 54 science papers which include the results of research concerning the current directions in the fields of data mining, machine learning, and decision making. The papers are divided in terms of their topic into three sections. The first section "Analysis and Modeling of Complex Systems and Processes" contains of 26 papers, and the second section "Theoretical and Applied Aspects of Decision-Making Systems" contains of 13 papers. There are 15 papers in the third section "Computational Intelligence and Inductive Modeling". The book is focused to scientists and developers in the fields of data mining, machine learning and decision-making systems.

TARGET HIGH

TARGET HIGH PDF

Author: DR MUTHUVENKATACHALAM S

Publisher: CBS Publishers & Distributors Private Limited

Published: 2017-06-30

Total Pages: 78

ISBN-13: 9386310570

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Key Features:Synopses of All Nursing & Medical Subjects2000+ MCQs with Explanations7500+ Practice Qs of High Standard (500 New Qs)4500+ Additional Practice Qs in App (500 New Qs)43 Recent Exams (2017-10) Solved Papers (11 New Papers)8 Color plates on Anatomical Illustrations (All New Color Plates)55 Appendices containing Tables & Flowcharts (10 New Appendices)200+ Colored Image-based Qs covering ECGs & Instruments (70 New Qs)New Subject added “Basic Computer Applications”How to Prepare for Staff Nurse & Interview for Nursing TutorCurrent Affairs 2017, General English by Subject Specialist, General Aptitude

Uncertainty in Artificial Intelligence

Uncertainty in Artificial Intelligence PDF

Author: Didier J. Dubois

Publisher: Morgan Kaufmann

Published: 2014-05-12

Total Pages: 379

ISBN-13: 1483282872

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Uncertainty in Artificial Intelligence: Proceedings of the Eighth Conference (1992) covers the papers presented at the Eighth Conference on Uncertainty in Artificial Intelligence, held at Stanford University on July 17-19, 1992. The book focuses on the processes, methodologies, technologies, and approaches involved in artificial intelligence. The selection first offers information on Relative Evidential Support (RES), modal logics for qualitative possibility and beliefs, and optimizing causal orderings for generating DAGs from data. Discussions focus on reversal, swap, and unclique operators, modal representation of possibility, and beliefs and conditionals. The text then examines structural controllability and observability in influence diagrams, lattice-based graded logic, and dynamic network models for forecasting. The manuscript takes a look at reformulating inference problems through selective conditioning, entropy and belief networks, parallelizing probabilistic inference, and a symbolic approach to reasoning with linguistic quantifiers. The text also ponders on sidestepping the triangulation problem in Bayesian net computations; exploring localization in Bayesian networks for large expert systems; and expressing relational and temporal knowledge in visual probabilistic networks. The selection is a valuable reference for researchers interested in artificial intelligence.

Artificial Intelligence Techniques in Human Resource Management

Artificial Intelligence Techniques in Human Resource Management PDF

Author: Soumi Ghosh

Publisher: CRC Press

Published: 2023-08-18

Total Pages: 281

ISBN-13: 1000729605

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This new volume presents a range of techniques that aim to enhance the operation of human resource management by applying state-of-the-art artificial intelligence technology. With illustrative case studies, the volume uses examples from several real-life problems and includes their possible solutions using advanced AI technology. The book explores the confluence of smart computing and traditional businesses to foster productivity, profitability, and prosperity and goes on to apply AI techniques in the recruitment process, with enterprise resource planning management software, for manpower optimization systems in colleges, for creating uniformity in HRM across organizations, for creating conflicting strategy management techniques, and more. One pandemicrelated chapter discusses the use of radio frequency-based technology for monitoring social distancing.

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