Introduction to Nursing Informatics (Health Informatics)

Book Description

Like its predecessor, this book is a primer for those new to nursing informatics. It provides a thorough introduction to basic terms and concepts, as well as an in-depth exploration of the most prevalent applications in nursing practice, education, administration, and research. Expanded and updated to reflect the remarkable technical advances achieved in health care in recent years, this new edition includes new chapters on clinical information systems and Internet usage, and offers the reader illustrative examples and valuable information resources. Topics include: Â¿ Telecommunications and Informatics Â¿ Nursing Aspects of Health Information Systems Â¿ Clinical Practice Applications of Nursing Informatics Â¿ Infrastructure Elements of the Health Informatics Environment Â¿ Future Opportunities for Nurses in Health Informatics This primer guides reader who want basic information on how to select and use information systems and information management in all aspects of nursing practice, education, management, and research.

Artificial Intelligence: Theory and Practice

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Serious errors
This is a useful book by eminent authors.

Artificial Intelligence: Theory and Practice
Thomas Dean
Manufacturer: Addison Wesley
ProductGroup: Book
Binding: Paperback

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Artificial Intelligence (3rd Edition)
The Essence of Artificial Intelligence
Introduction to Artificial Intelligence: Second, Enlarged Edition
Essentials of Artificial Intelligence
Operating System Concepts with C & C++

ASIN: 0805325476

Customer Reviews:

Serious errors.......2002-09-21

I used to use this text for AI undergraduate courses, and have given up. It has grievous errors in it, including in the on-line errata. Two quick examples: the information theoretic equations for decision trees is dead wrong. And the alpha-beta algorithm is completely incorrect. The text also has packed large amounts of information into very tight spaces, leading to poor explanations in important sections: the backpropagation section in particular consistently leads to serious confusion among students. And attempts to reduce algorithms into a procedural rather than functional/recursive format only result in excess complexity.

This is particularly frustrating because there really is no good undergraduate text for AI. This one comes close, packing in lots of stuff into an inexpensive volume. But the errors are serious enough, and in such high-utility sections, that this book cannot be recommended.

This is a useful book by eminent authors........2000-03-29

This is a good book for the beginners in the subject. I liked the book for its beautiful writing style. The most useful chapters of this book are chapter 5 on learning, chapter 7 on planning and chapter 9 on image understanding.The concepts on the situation calculus discussed in chapter 6 are also presented very interestingly. The examples used to illustrate different issues are realistic. The book must be on the desk of anyone interested in the domain of Artificial Intelligence.

Automated Planning: Theory & Practice (The Morgan Kaufmann Series in Artificial Intelligence)

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Automated Planning: Theory & Practice (The Morgan Kaufmann Series in Artificial Intelligence)
Dana Nau
Manufacturer: Morgan Kaufmann
ProductGroup: Book
Binding: Hardcover

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Constraint Processing (The Morgan Kaufmann Series in Artificial Intelligence)
Knowledge Representation and Reasoning (The Morgan Kaufmann Series in Artificial Intelligence) (The Morgan Kaufmann Series in Artificial Intelligence)
Commonsense Reasoning
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Programming with Constraints: An Introduction

ASIN: 1558608567

Book Description

Automated planning technology now plays a significant role in a variety of demanding applications, ranging from controlling space vehicles and robots to playing the game of bridge. These real-world applications create new opportunities for synergy between theory and practice: observing what works well in practice leads to better theories of planning, and better theories lead to better performance of practical applications.

Automated Planning mirrors this dialogue by offering a comprehensive, up-to-date resource on both the theory and practice of automated planning. The book goes well beyond classical planning, to include temporal planning, resource scheduling, planning under uncertainty, and modern techniques for plan generation, such as task decomposition, propositional satisfiability, constraint satisfaction, and model checking.

The authors combine over 30 years experience in planning research and development to offer an invaluable text to researchers, professionals, and graduate students.

*Comprehensively explains paradigms for automated planning.
*Provides a thorough understanding of theory and planning practice, and how they relate to each other.
*Presents case studies of applications in space, robotics, CAD/CAM, process control, emergency operations, and games.

*Provides a thorough understanding of AI planning theory and practice, and how they relate to each other.
*Covers all the contemporary topics of planning, as well as important practical applications of planning, such as model checking and game playing.
*Presents case studies and applications in planning engineering, space, robotics, CAD/CAM, process control, emergency operations, and games.
*Provides lecture notes, examples of programming assignments, pointers to downloadable planning systems and related information online.

Genetic Programming Theory and Practice III (Genetic Programming)

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Genetic Programming Theory and Practice III (Genetic Programming)
Yu T.
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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Genetic Programming IV: Routine Human-Competitive Machine Intelligence (Genetic Programming)
Genetic Programming III: Darwinian Invention and Problem Solving

ASIN: 038728110X

Book Description

Genetic Programming Theory and Practice III provides both researchers and industry professionals with the most recent developments in GP theory and practice by exploring the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The contributions developed from a third workshop at the University of Michigan's Center for the Study of Complex Systems, where leading international genetic programming theorists from major universities and active practitioners from leading industries and businesses meet to examine and challenge how GP theory informs practice and how GP practice impacts GP theory. Applications are from a wide range of domains, including chemical process control, informatics, and circuit design, to name a few.

General Systems Theory: Problems, Perspectives, Practice

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suitable for high school students...

General Systems Theory: Problems, Perspectives, Practice
Lars Skyttner
Manufacturer: World Scientific Publishing Company
ProductGroup: Book
Binding: Paperback

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General System Theory: Foundations, Development, Applications
Enterprise Architecture As Strategy: Creating a Foundation for Business Execution
Sourcebook Of Family Theories And Methods: A CONTEXTUAL APPROACH
Understanding and Helping Families: A Cognitive-behavioral Approach
Finding Our Way Home: Truning Back to What Matters Most

ASIN: 9812564675

Product Description

Systems theorists see common principles in the structure and operation of systems of all kinds and sizes. They promote an interdisciplinary science adapted for a universal application with a common language and area of concepts. In order to solve problems, make recommendations and predict the future, they use theories, models and concepts from the vast area of general systems theory. This approach is chosen as a means to overcome the fragmentation of knowledge and the isolation of the specialist but also to find new approaches to problems created by earlier solution of problems. This revised and updated second edition of General Systems Theory Ideas and Applications includes new systems theories and a new chapter on self-organization and evolution. The book summarizes most of the fields of systems theory and its application systems science in one volume. It provides a quick and readable reference guide for future learning containing both general theories and practical applications without the use of complicated mathematics.

Customer Reviews:

suitable for high school students..........2006-12-17

It is vague and confused and superficial and juvenile.

The classic by von Bertalanffy is far superior.

Genetic Programming Theory and Practice IV (Genetic and Evolutionary Computation)

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Genetic Programming Theory and Practice IV (Genetic and Evolutionary Computation)

Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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ASIN: 0387333754

Book Description

Genetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michiganâ€™s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application.

This volume represents a watershed moment in the GP field in that GP has begun to move from hand-crafted software used primarily in academic research, to an engineering methodology applied to commercial applications. It is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.

The Dynamics of Judicial Proof: Computation, Logic, and Common Sense (Studies in Fuzziness and Soft Computing)

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The Dynamics of Judicial Proof: Computation, Logic, and Common Sense (Studies in Fuzziness and Soft Computing)

Manufacturer: Physica-Verlag Heidelberg
ProductGroup: Book
Binding: Hardcover

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ASIN: 3790814598

Book Description

Fact finding in judicial proceedings is a dynamic process. This collection of papers considers whether computational methods or other formal logical methods developed in disciplines such as artificial intelligence, decision theory, and probability theory can facilitate the study and management of dynamic evidentiary and inferential processes in litigation. The papers gathered here have several epicenters, including (i) the dynamics of judicial proof, (ii) the relationship between artificial intelligence or formal analysis and "common sense," (iii) the logic of factual inference, including (a) the relationship between causality and inference and (b) the relationship between language and factual inference, (iv) the logic of discovery, including the role of abduction and serendipity in the process of investigation and proof of factual matters, and (v) the relationship between decision and inference.

Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)

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Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)

Manufacturer: The MIT Press
ProductGroup: Book
Binding: Hardcover

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Pattern Recognition and Machine Learning (Information Science and Statistics)
Semi-Supervised Learning (Adaptive Computation and Machine Learning)
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All of Nonparametrics (Springer Texts in Statistics)

ASIN: 026219547X

Book Description

Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning, however, may alleviate the problems in using these methods on large data sets. This volume presents theoretical and practical discussions of nearest-neighbor (NN) methods in machine learning and examines computer vision as an application domain in which the benefit of these advanced methods is often dramatic. It brings together contributions from researchers in theory of computation, machine learning, and computer vision with the goals of bridging the gaps between disciplines and presenting state-of-the-art methods for emerging applications.

The contributors focus on the importance of designing algorithms for NN search, and for the related classification, regression, and retrieval tasks, that remain efficient even as the number of points or the dimensionality of the data grows very large. The book begins with two theoretical chapters on computational geometry and then explores ways to make the NN approach practicable in machine learning applications where the dimensionality of the data and the size of the data sets make the naïve methods for NN search prohibitively expensive. The final chapters describe successful applications of an NN algorithm, locality-sensitive hashing (LSH), to vision tasks.

Artificial Neural Networks: An Introduction to ANN Theory and Practice (Lecture Notes in Computer Science)

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Artificial Neural Networks: An Introduction to ANN Theory and Practice (Lecture Notes in Computer Science)

Manufacturer: Springer
ProductGroup: Book
Binding: Paperback

General | Certification Central | Computers & Internet | Subjects | Books

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ASIN: 3540594884

Book Description

This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium.
The major ANN architectures are discussed to show their powerful possibilities for empirical data analysis, particularly in situations where other methods seem to fail. Theoretical insight is offered by examining the underlying mathematical principles in a detailed, yet clear and illuminating way. Practical experience is provided by discussing several real-world applications in such areas as control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM.

Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms

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scholarly and from a general viewpoint
One of the best books on EAs
One of the best introductions to evolutionary algorithms

Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms
Thomas Back
Manufacturer: Oxford University Press, USA
ProductGroup: Book
Binding: Hardcover

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Genetic Algorithms in Search, Optimization, and Machine Learning
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Multi-Objective Optimization Using Evolutionary Algorithms

ASIN: 0195099710

Book Description

This book presents a unified view of evolutionary algorithms: the exciting new probabilistic search tools inspired by biological models that have immense potential as practical problem-solvers in a wide variety of settings, academic, commercial, and industrial. In this work, the author compares the three most prominent representatives of evolutionary algorithms: genetic algorithms, evolution strategies, and evolutionary programming. The algorithms are presented within a unified framework, thereby clarifying the similarities and differences of these methods. The author also presents new results regarding the role of mutation and selection in genetic algorithms, showing how mutation seems to be much more important for the performance of genetic algorithms than usually assumed. The interaction of selection and mutation, and the impact of the binary code are further topics of interest. Some of the theoretical results are also confirmed by performing an experiment in meta-evolution on a parallel computer. The meta-algorithm used in this experiment combines components from evolution strategies and genetic algorithms to yield a hybrid capable of handling mixed integer optimization problems. As a detailed description of the algorithms, with practical guidelines for usage and implementation, this work will interest a wide range of researchers in computer science and engineering disciplines, as well as graduate students in these fields.

Customer Reviews:

scholarly and from a general viewpoint.......2005-07-19

In comparing this book with, say Goldberg's "Genetic Algorithms..." (may be the most popular genetic algorithms text), this book reads more like a German habilitation thesis (which I imagine it may have served as such), where as Goldberg's book seems more of a light introduction for the mathematically uninitiated. Indeed, Back's book seems quite scholarly with lots of useful references, and gives a good introduction to not only genetic algorithms, but also to evolutionary strategies (a paradigm that is most applicable to Euclidean-type search spaces) and evolutionary programming
(simular to ES and not to be confused with genetic programming).

I found Chapters 1 and 2 quite good, in that Chapter 1 presented the biological motivations for evolutionary computing along with a brief introduction to the theory of computation and computational complexity, while Chapter 2 gave a very good introduction to the above-mentioned evolutionary computing paradigms. The remainder of the book reads more like a report on the author's experiments in evolutionary computing.

It is important to note that Goldberg's book does not cover Evolutionary Strategies, which I have found to be a more fruitful approach since it is specifically designed for Euclidean space where many if not most interesting optimization problems are formulated in.

Finally, I offer bit of advice for those who plan to read through this book. Some of the definitions are stated with such generality that they seem very opaque upon first reading. It is very important to understand them, so do not give up! Once the defintions are understood, the algorithms will seem much easier to comprehend. In fact, the algorithms have a very simple outline:
i) initialize population
ii) while the terminating condition is not yet met: recombine to form new population members, mutate the population members, select the most fit population members to form the next generation.
The partial analyses provided for the algorithms can be skipped on first reading.

One of the best books on EAs.......2003-10-23

Although this book is much less popular than Goldberg's and Mitchell's, it is the most complete reference on evolutionary algorithms in my opinion. If you're looking only for an introduction to EAs, this may not be the perfect book for you (the 2 other ones are more concise) but if you're seeking a detailed review of foundations of EAs, this book is excellent. It provides mathematical insight, and examples of how to implement such algorithms.

One of the best introductions to evolutionary algorithms.......2001-08-01

I don't really know why this book didn't sell as well as some of the other standard books in evolutionary algorithms. It's much better in many respects and presents a balanced view of the entire field, including evolution strategies, evolutionary programming, and genetic algorithms. Anyone who is interested in evolutionary algorithms should have this book....

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