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Mathematical Methods In Artificial Intelligence


Mathematical Methods In Artificial Intelligence
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Mathematical Methods In Artificial Intelligence


Mathematical Methods In Artificial Intelligence
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Author : Edward A. Bender
language : en
Publisher: Wiley-IEEE Computer Society Press
Release Date : 1996-02-10

Mathematical Methods In Artificial Intelligence written by Edward A. Bender and has been published by Wiley-IEEE Computer Society Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-02-10 with Technology & Engineering categories.


Mathematical Methods in Artificial Intelligence introduces the student to the important mathematical foundations and tools in AI and describes their applications to the design of AI algorithms. This useful text presents an introductory AI course based on the most important mathematics and its applications. It focuses on important topics that are proven useful in AI and involve the most broadly applicable mathematics. The book explores AI from three different viewpoints: goals, methods or tools, and achievements and failures. Its goals of reasoning, planning, learning, or language understanding and use are centered around the expert system idea. The tools of AI are presented in terms of what can be incorporated in the data structures. The book looks into the concepts and tools of limited structure, mathematical logic, logic-like representation, numerical information, and nonsymbolic structures. The text emphasizes the main mathematical tools for representing and manipulating knowledge symbolically. These are various forms of logic for qualitative knowledge, and probability and related concepts for quantitative knowledge. The main tools for manipulating knowledge nonsymbolically, as neural nets, are optimization methods and statistics. This material is covered in the text by topics such as trees and search, classical mathematical logic, and uncertainty and reasoning. A solutions diskette is available, please call for more information.



Mathematical Methods For Artificial Intelligence And Autonoumous Systems


Mathematical Methods For Artificial Intelligence And Autonoumous Systems
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Author : Edward R. Dougherty
language : en
Publisher: Prentice Hall
Release Date : 1988-01-01

Mathematical Methods For Artificial Intelligence And Autonoumous Systems written by Edward R. Dougherty and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-01-01 with Artificial intelligence categories.




Simulation And Analysis Of Mathematical Methods In Real Time Engineering Applications


Simulation And Analysis Of Mathematical Methods In Real Time Engineering Applications
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Author : T. Ananth Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2021-08-16

Simulation And Analysis Of Mathematical Methods In Real Time Engineering Applications written by T. Ananth Kumar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-16 with Mathematics categories.


SIMULATIONS AND ANALYSIS of Mathematical Methods Written and edited by a group of international experts in the field, this exciting new volume covers the state of the art of real-time applications of computer science using mathematics. This breakthrough edited volume highlights the security, privacy, artificial intelligence, and practical approaches needed by engineers and scientists in all fields of science and technology. It highlights the current research, which is intended to advance not only mathematics but all areas of science, research, and development, and where these disciplines intersect. As the book is focused on emerging concepts in machine learning and artificial intelligence algorithmic approaches and soft computing techniques, it is an invaluable tool for researchers, academicians, data scientists, and technology developers. The newest and most comprehensive volume in the area of mathematical methods for use in real-time engineering, this groundbreaking new work is a must-have for any engineer or scientist’s library. Also useful as a textbook for the student, it is a valuable contribution to the advancement of the science, both a working handbook for the new hire or student, and a reference for the veteran engineer.



Engineering Mathematics And Artificial Intelligence


Engineering Mathematics And Artificial Intelligence
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Author : Herb Kunze
language : en
Publisher: CRC Press
Release Date : 2023-07-26

Engineering Mathematics And Artificial Intelligence written by Herb Kunze and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-26 with Technology & Engineering categories.


Explains the theory behind Machine Learning and highlights how Mathematics can be used in Artificial Intelligence Illustrates how to improve existing algorithms by using advanced mathematics and discusses how Machine Learning can support mathematical modeling Captures how to simulate data by means of artificial neural networks and offers cutting-edge Artificial Intelligence technologies Emphasizes the classification of algorithms, optimization methods, and statistical techniques Explores future integration between Machine Learning and complex mathematical techniques



Advancement Of Mathematical Methods In Feature Representation Learning For Artificial Intelligence Data Mining And Robotics


Advancement Of Mathematical Methods In Feature Representation Learning For Artificial Intelligence Data Mining And Robotics
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Author : Jianping Gou
language : en
Publisher: Mdpi AG
Release Date : 2023-06-14

Advancement Of Mathematical Methods In Feature Representation Learning For Artificial Intelligence Data Mining And Robotics written by Jianping Gou and has been published by Mdpi AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-14 with categories.


The present reprint contains 33 articles accepted and published in the Special Issue entitled "Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics, 2022" in the MDPI journal, Mathematics, which covers a wide range of topics connected to the theory and applications of feature representation learning for image processing, artificial intelligence, data mining and robotics. These topics include, among others, elements from image blurring, image aesthetic quality assessment, pedestrian detection, visual tracking, vehicle re-identification, face recognition, 3D reconstruction, the stability of switched systems, domain adaption, deep reinforcement, sentiment analysis, graph convolutional networks, knowledge graphs, geometric metric learning, etc. It is hoped that this reprint will be interesting and useful for those working in the area of image processing, computer vision, machine learning, natural language processing and robotics, as well as for those with backgrounds in machine learning who are willing to become familiar with recent advancements in artificial intelligence, which, today, is present in almost all aspects of human life and activities.



Mathematical Methods And Applications For Artificial Intelligence And Computer Vision


Mathematical Methods And Applications For Artificial Intelligence And Computer Vision
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Author : Ezequiel López-Rubio
language : en
Publisher: Mdpi AG
Release Date : 2024-01-25

Mathematical Methods And Applications For Artificial Intelligence And Computer Vision written by Ezequiel López-Rubio and has been published by Mdpi AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-25 with Computers categories.


This Reprint comprises all of the accepted articles published as part of the Special Issue "Mathematical Methods and Applications for Artificial Intelligence and Computer Vision". The aim of this Special Issue was to publish recent theoretical and applied studies in computational intelligence and related fields, with a particular focus on computer vision. Our goal was to inspire researchers in this community to further their research in the field of artificial intelligence and computer vision while also encouraging the exploration of their valuable applications across various fields and disciplines. We hope that the included papers will stimulate further research and development in the domains of artificial intelligence and computer vision.



Algorithmic Methods For Artificial Intelligence


Algorithmic Methods For Artificial Intelligence
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Author : Michael Griffiths
language : en
Publisher: Chapman & Hall
Release Date : 1987

Algorithmic Methods For Artificial Intelligence written by Michael Griffiths and has been published by Chapman & Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computers categories.


This book provides students of computer studies and professional programmers with a practical introduction to artificial intelligence. It considers both algorithmic and programming methods, explains the theoretical concepts and includes numerous examples of the various techniques used. The text begins by reviewing the history and application of artificial intelligence, and the data structures and program structures involved, including trees, graphs and recursive programs. It then goes on to consider the resolution methods that must be applied to non-deterministic problems, introducing enumeration and theorem-proving. Chapter 4 looks at theorem proving more closely, and the use of basic mathematical methods are demonstrated in detail. The following two chapters are concerned with the practical application of these methods. Previously used examples illustrate the development of an expert system, and LISP and PROLOG are described in detail. The algorithmic language used is outlined in the first appendix, and the second appendix provides solutions to the exercises that appear throughout the book.



Mathematics For Machine Learning


Mathematics For Machine Learning
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Author : Marc Peter Deisenroth
language : en
Publisher: Cambridge University Press
Release Date : 2020-04-23

Mathematics For Machine Learning written by Marc Peter Deisenroth and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-23 with Computers categories.


Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.



Mathematical Aspects Of Artificial Intelligence


Mathematical Aspects Of Artificial Intelligence
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Author : Frederick Hoffman
language : en
Publisher: American Mathematical Soc.
Release Date : 1998

Mathematical Aspects Of Artificial Intelligence written by Frederick Hoffman and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.


There exists a history of great expectations and large investments involving artificial intelligence (AI). There are also notable shortfalls and memorable disappointments. One major controversy regarding AI is just how mathematical a field it is or should be. This text includes contributions that examine the connections between AI and mathematics, demonstrating the potential for mathematical applications and exposing some of the more mathematical areas within AI. The goal is to stimulate interest in people who can contribute to the field or use its results. Included in the work by M. Newborn on the famous Deep BLue chess match. He discusses highly mathematical techniques involving graph theory, combinatorics and probability and statistics. G. Shafer offers his development of probability through probability trees with some of the results appearing here for the first time. M. Golumbic treats temporal reasoning with ties to the famous Frame Problem. His contribution involves logic, combinatorics and graph theory and leads to two chapters with logical themes. H. Kirchner explains how ordering techniques in automated reasoning systems make deduction more efficient. Constraint logic programming is discussed by C. Lassez, who shows its intimate ties to linear programming with crucial theorems going back to Fourier. V. Nalwa's work provides a brief tour of computer vision, tying it to mathematics - from combinatorics, probability and geometry to partial differential equations. All authors are gifted expositors and are current contributors to the field. The wide scope of the volume includes research problems, research tools and good motivational material for teaching.



Mathematical Methods For Artificial Intelligence And Autonomous Systems


Mathematical Methods For Artificial Intelligence And Autonomous Systems
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Author : Edward R. Dougherty
language : en
Publisher:
Release Date : 1988

Mathematical Methods For Artificial Intelligence And Autonomous Systems written by Edward R. Dougherty and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Computers categories.