Probabilistic Methods For Financial And Marketing Informatics

Author : Richard E. Neapolitan,Xia Jiang
Publisher : Elsevier
Page : 432 pages
File Size : 47,7 Mb
Release : 2010-07-26
Category : Business & Economics
ISBN : 9780080555676

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Probabilistic Methods for Financial and Marketing Informatics by Richard E. Neapolitan,Xia Jiang Pdf

Probabilistic Methods for Financial and Marketing Informatics aims to provide students with insights and a guide explaining how to apply probabilistic reasoning to business problems. Rather than dwelling on rigor, algorithms, and proofs of theorems, the authors concentrate on showing examples and using the software package Netica to represent and solve problems. The book contains unique coverage of probabilistic reasoning topics applied to business problems, including marketing, banking, operations management, and finance. It shares insights about when and why probabilistic methods can and cannot be used effectively. This book is recommended for all R&D professionals and students who are involved with industrial informatics, that is, applying the methodologies of computer science and engineering to business or industry information. This includes computer science and other professionals in the data management and data mining field whose interests are business and marketing information in general, and who want to apply AI and probabilistic methods to their problems in order to better predict how well a product or service will do in a particular market, for instance. Typical fields where this technology is used are in advertising, venture capital decision making, operational risk measurement in any industry, credit scoring, and investment science. Unique coverage of probabilistic reasoning topics applied to business problems, including marketing, banking, operations management, and finance Shares insights about when and why probabilistic methods can and cannot be used effectively Complete review of Bayesian networks and probabilistic methods for those IT professionals new to informatics.

Author : Richard E. Neapolitan
Publisher : Morgan Kaufmann
Page : 424 pages
File Size : 54,5 Mb
Release : 2009-06-12
Category : Computers
ISBN : 0080919367

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Probabilistic Methods for Bioinformatics by Richard E. Neapolitan Pdf

The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains the application of probability and statistics, in particular Bayesian networks, to genetics. This book provides background material on probability, statistics, and genetics, and then moves on to discuss Bayesian networks and applications to bioinformatics. Rather than getting bogged down in proofs and algorithms, probabilistic methods used for biological information and Bayesian networks are explained in an accessible way using applications and case studies. The many useful applications of Bayesian networks that have been developed in the past 10 years are discussed. Forming a review of all the significant work in the field that will arguably become the most prevalent method in biological data analysis. Unique coverage of probabilistic reasoning methods applied to bioinformatics data--those methods that are likely to become the standard analysis tools for bioinformatics. Shares insights about when and why probabilistic methods can and cannot be used effectively; Complete review of Bayesian networks and probabilistic methods with a practical approach.

Author : Richard E. Neapolitan,Xia Jiang
Publisher : CRC Press
Page : 466 pages
File Size : 48,7 Mb
Release : 2018-03-12
Category : Computers
ISBN : 9781351384391

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Artificial Intelligence by Richard E. Neapolitan,Xia Jiang Pdf

The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods. The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods, while the second section focuses on probability-based methods. Emergent intelligence is featured in the third section and explores evolutionary computation and methods based on swarm intelligence. The newest section comes next and provides a detailed overview of neural networks and deep learning. The final section of the book focuses on natural language understanding. Suitable for undergraduate and beginning graduate students, this class-tested textbook provides students and other readers with key AI methods and algorithms for solving challenging problems involving systems that behave intelligently in specialized domains such as medical and software diagnostics, financial decision making, speech and text recognition, genetic analysis, and more.

Author : Richard E. Neapolitan
Publisher : CRC Press
Page : 508 pages
File Size : 49,9 Mb
Release : 2012-08-25
Category : Computers
ISBN : 9781466573192

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Contemporary Artificial Intelligence by Richard E. Neapolitan Pdf

The notion of artificial intelligence (AI) often sparks thoughts of characters from science fiction, such as the Terminator and HAL 9000. While these two artificial entities do not exist, the algorithms of AI have been able to address many real issues, from performing medical diagnoses to navigating difficult terrain to monitoring possible failures

Author : Richard Neapolitan
Publisher : Jones & Bartlett Learning
Page : 694 pages
File Size : 53,9 Mb
Release : 2014-03-31
Category : Computers
ISBN : 9781284049190

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Foundations of Algorithms by Richard Neapolitan Pdf

Foundations of Algorithms, Fifth Edition offers a well-balanced presentation of algorithm design, complexity analysis of algorithms, and computational complexity. Ideal for any computer science students with a background in college algebra and discrete structures, the text presents mathematical concepts using standard English and simple notation to maximize accessibility and user-friendliness. Concrete examples, appendices reviewing essential mathematical concepts, and a student-focused approach reinforce theoretical explanations and promote learning and retention. C++ and Java pseudocode help students better understand complex algorithms. A chapter on numerical algorithms includes a review of basic number theory, Euclid's Algorithm for finding the greatest common divisor, a review of modular arithmetic, an algorithm for solving modular linear equations, an algorithm for computing modular powers, and the new polynomial-time algorithm for determining whether a number is prime. The revised and updated Fifth Edition features an all-new chapter on genetic algorithms and genetic programming, including approximate solutions to the traveling salesperson problem, an algorithm for an artificial ant that navigates along a trail of food, and an application to financial trading. With fully updated exercises and examples throughout and improved instructor resources including complete solutions, an Instructor's Manual and PowerPoint lecture outlines, Foundations of Algorithms is an essential text for undergraduate and graduate courses in the design and analysis of algorithms. Key features include: • The only text of its kind with a chapter on genetic algorithms • Use of C++ and Java pseudocode to help students better understand complex algorithms • No calculus background required • Numerous clear and student-friendly examples throughout the text • Fully updated exercises and examples throughout • Improved instructor resources, including complete solutions, an Instructor's Manual, and PowerPoint lecture outlines

Author : Soumen Chakrabarti,Richard E. Neapolitan,Dorian Pyle,Mamdouh Refaat,Markus Schneider,Toby J. Teorey,Ian H. Witten,Earl Cox,Eibe Frank,Ralf Hartmut Güting,Jiawei Han,Xia Jiang,Micheline Kamber,Sam S. Lightstone,Thomas P. Nadeau
Publisher : Morgan Kaufmann
Page : 477 pages
File Size : 41,5 Mb
Release : 2008-10-31
Category : Computers
ISBN : 9780080877884

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Data Mining: Know It All by Soumen Chakrabarti,Richard E. Neapolitan,Dorian Pyle,Mamdouh Refaat,Markus Schneider,Toby J. Teorey,Ian H. Witten,Earl Cox,Eibe Frank,Ralf Hartmut Güting,Jiawei Han,Xia Jiang,Micheline Kamber,Sam S. Lightstone,Thomas P. Nadeau Pdf

This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining. This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources. Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints. Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader’s technical expertise and ability to implement practical solutions. Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.

Author : Gilles Barthe,Joost-Pieter Katoen,Alexandra Silva
Publisher : Cambridge University Press
Page : 583 pages
File Size : 43,6 Mb
Release : 2020-12-03
Category : Computers
ISBN : 9781108488518

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Foundations of Probabilistic Programming by Gilles Barthe,Joost-Pieter Katoen,Alexandra Silva Pdf

This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, security, and approximate computing. Comprehensive survey chapters make the material accessible to graduate students and non-experts. This title is also available as Open Access on Cambridge Core.

Author : Richard E. Neapolitan
Publisher : Jones & Bartlett Publishers
Page : 694 pages
File Size : 55,6 Mb
Release : 2015
Category : Algorithms
ISBN : 9781284049206

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Foundations of Algorithms by Richard E. Neapolitan Pdf

Author : Daniel Adrian Doss,William H. Sumrall III,David H. McElreath,Don W. Jones
Publisher : CRC Press
Page : 756 pages
File Size : 55,8 Mb
Release : 2013-10-28
Category : Business & Economics
ISBN : 9781466592063

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Economic and Financial Analysis for Criminal Justice Organizations by Daniel Adrian Doss,William H. Sumrall III,David H. McElreath,Don W. Jones Pdf

From small law offices to federal agencies, all entities within the justice system are governed by complicated economic factors and face daily financial decision-making. A complement to Strategic Finance for Criminal Justice Organizations, this volume considers the justice system from a variety of economic and financial perspectives and introduces quantitative methods designed to improve the efficiency and effectiveness of organizations in both the non-profit and for-profit sectors. Using only a minimum of theory, Economic and Financial Analysis for Criminal Justice Organizations demonstrates how to make decisions in the justice system using multiple financial and economic models. Designed for readers with little knowledge of advanced mathematics, quantitative analysis, or spreadsheets, the book presents examples using straightforward, step-by-step processes with Excel and Linux Calc spreadsheet software. A variety of different types of decisions are considered, ranging from municipal bond issuance and valuation necessary for public revenues, pension planning, capital investment, determining the best use of monies toward construction projects, and other resource planning, allocation, and forecasting issues. From municipalities and police departments to for-profit prisons and security firms, the quantitative methods presented are designed to improve the efficiency and effectiveness of all organizations in the justice domain.

Author : Clair L. Alston,Kerrie L. Mengersen,Anthony N. Pettitt
Publisher : John Wiley & Sons
Page : 411 pages
File Size : 54,9 Mb
Release : 2012-10-10
Category : Mathematics
ISBN : 9781118394328

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Case Studies in Bayesian Statistical Modelling and Analysis by Clair L. Alston,Kerrie L. Mengersen,Anthony N. Pettitt Pdf

Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the corresponding model, the computational method, results and inferences as well as the issues that arise in the implementation of these approaches. Case Studies in Bayesian Statistical Modelling and Analysis: Illustrates how to do Bayesian analysis in a clear and concise manner using real-world problems. Each chapter focuses on a real-world problem and describes the way in which the problem may be analysed using Bayesian methods. Features approaches that can be used in a wide area of application, such as, health, the environment, genetics, information science, medicine, biology, industry and remote sensing. Case Studies in Bayesian Statistical Modelling and Analysis is aimed at statisticians, researchers and practitioners who have some expertise in statistical modelling and analysis, and some understanding of the basics of Bayesian statistics, but little experience in its application. Graduate students of statistics and biostatistics will also find this book beneficial.

Author : Florence Dupin de Saint-Cyr,Meltem Öztürk-Escoffier,Nico Potyka
Publisher : Springer Nature
Page : 374 pages
File Size : 52,8 Mb
Release : 2022-10-14
Category : Computers
ISBN : 9783031188435

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Scalable Uncertainty Management by Florence Dupin de Saint-Cyr,Meltem Öztürk-Escoffier,Nico Potyka Pdf

This book constitutes the refereed proceedings of the 15th International Conference on Scalable Uncertainty Management, SUM 2022, which was held in Paris, France, in October 2022. The 19 full and 4 short papers presented in this volume were carefully reviewed and selected from 25 submissions. Besides that, the book also contains 3 abstracts of invited talks and 2 tutorial papers. The conference aims to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as artificial intelligence and machine learning, databases, information retrieval and data mining, the semantic web and risk analysis. The chapter "Defining and Enforcing Descriptive Accuracy in Explanations: the Case of Probabilistic Classifiers" is licensed under the terms of the Creative Commons Attribution 4.0 International License.

Author : Emilio Díez-De-Castro,Marta Peris-Ortiz
Publisher : Springer
Page : 304 pages
File Size : 40,9 Mb
Release : 2018-05-14
Category : Business & Economics
ISBN : 9783319759906

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Organizational Legitimacy by Emilio Díez-De-Castro,Marta Peris-Ortiz Pdf

This volume explores organizational legitimacy in business, featuring examples from a variety of industries around the world. Synthesizing the most current theoretical insights and best practices, the contributing authors examine the ways in which organizational legitimacy can be understood, its perceived influence on the market, and the relationship between organizational legitimacy and overall organizational success. The authors draw from different methodological perspectives to develop a holistic approach to organizational legitimacy that transcends the traditional concepts of corporate reputation, business ethics or corporate social responsibility. Historically, efforts to understand how organizations acquire, manage and use legitimacy have applied insights from institutional theory, resource dependence theory, organizational ecology and stakeholder theory, but the field has remained fragmented, despite the profound implications of achieving legitimacy for ensuring organizational stability, survival and sustainability through access to capital, resources and business opportunities, as well as problem solving, performance measurement and stakeholder support. Presenting case studies of successful initiatives, the book addresses: · How organizational legitimacy is defined and measured · How organizations achieve legitimacy and how they acquire resources · How different stakeholders (e.g., consumers, investors, employees) make legitimacy judgments and resource allocation decisions · Whether audiences in the same socio-cultural context arrive at shared legitimacy judgments with regard to a focal organization

Author : Amal Ahmed
Publisher : Springer
Page : 1056 pages
File Size : 50,6 Mb
Release : 2018-04-14
Category : Computers
ISBN : 9783319898841

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Programming Languages and Systems by Amal Ahmed Pdf

This open access book constitutes the proceedings of the 27th European Symposium on Programming, ESOP 2018, which took place in Thessaloniki, Greece in April 2018, held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018. The 36 papers presented in this volume were carefully reviewed and selected from 114 submissions. The papers are organized in topical sections named: language design; probabilistic programming; types and effects; concurrency; security; program verification; program analysis and automated verification; session types and concurrency; concurrency and distribution; and compiler verification.

Author : Richard E. Neapolitan
Publisher : CRC Press
Page : 517 pages
File Size : 53,7 Mb
Release : 2012-08-25
Category : Computers
ISBN : 9781466559400

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Contemporary Artificial Intelligence by Richard E. Neapolitan Pdf

The notion of artificial intelligence (AI) often sparks thoughts of characters from science fiction, such as the Terminator and HAL 9000. While these two artificial entities do not exist, the algorithms of AI have been able to address many real issues, from performing medical diagnoses to navigating difficult terrain to monitoring possible failures

Author : Richard E. Neapolitan
Publisher : Prentice Hall
Page : 704 pages
File Size : 41,7 Mb
Release : 2004
Category : Computers
ISBN : STANFORD:36105111872318

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Learning Bayesian Networks by Richard E. Neapolitan Pdf

In this first edition book, methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and problems allow readers to grasp the information. Some of the topics discussed include Pearl's message passing algorithm, Parameter Learning: 2 Alternatives, Parameter Learning r Alternatives, Bayesian Structure Learning, and Constraint-Based Learning. For expert systems developers and decision theorists.