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Inductive Learning Algorithms for Complex System Modeling
Inductive Learning Algorithms for Complex System Modeling
Inductive Learning Algorithms for Complex Systems Modeling is a professional monograph that surveys new types of learning algorithms for modeling complex scientific systems in science and engineering. The book features discussions of algorithm development, structure, and behavior; comprehensive coverage of all types of algorithms useful for this...
Google Advertising Tools: Cashing in with AdSense and AdWords (Animal Guide)
Google Advertising Tools: Cashing in with AdSense and AdWords (Animal Guide)
With this book, you'll learn how to take full advantage of Google AdWords and AdSense, the sophisticated online advertising tools used by thousands of large and small businesses. This new edition provides a substantially updated guide to advertising on the Web, including how it works in general, and how Google's advertising programs in...
Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach (Natural Computing Series)
Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach (Natural Computing Series)

Traditionally, evolutionary computing techniques have been applied in the area of data mining either to optimize the parameters of data mining algorithms or to discover knowledge or patterns in the data, i.e., to directly solve the target data mining problem. This book proposes a different goal for evolutionary algorithms in data mining: to...

Linear Optimization: The Simplex Workbook (Undergraduate Texts in Mathematics)
Linear Optimization: The Simplex Workbook (Undergraduate Texts in Mathematics)

This undergraduate textbook is written for a junior/senior level course on linear optimization. Unlike other texts, the treatment follows the "modified Moore method" approach in which examples and proof opportunities are worked into the text in order to encourage students to develop some of the content through their own experiments and...

Foundations of Dependable Computing: Paradigms for Dependable Applications
Foundations of Dependable Computing: Paradigms for Dependable Applications
Foundations of Dependable Computing: Paradigms for Dependable Applications, presents a variety of specific approaches to achieving dependability at the application level. Driven by the higher level fault models of Models and Frameworks for Dependable Systems, and built on the lower level abstractions implemented in a third companion book...
Foundations of Dependable Computing: Models and Frameworks for Dependable Systems
Foundations of Dependable Computing: Models and Frameworks for Dependable Systems
Foundations of Dependable Computing: Models and Frameworks for Dependable Systems presents two comprehensive frameworks for reasoning about system dependability, thereby establishing a context for understanding the roles played by specific approaches presented in this book's two companion volumes. It then explores the range of models and...
Foundations of Dependable Computing: System Implementation
Foundations of Dependable Computing: System Implementation
Foundations of Dependable Computing: System Implementation, explores the system infrastructure needed to support the various paradigms of Paradigms for Dependable Applications. Approaches to implementing support mechanisms and to incorporating additional appropriate levels of fault detection and fault tolerance at the processor, network, and...
Introduction to Information Theory and Data Compression, Second Edition
Introduction to Information Theory and Data Compression, Second Edition
An effective blend of carefully explained theory and practical applications, this text imparts the fundamentals of both information theory and data compression. Although the two topics are related, this unique text allows either topic to be presented independently, and it was specifically designed so that the data compression section requires...
Programming Finite Elements in Java
Programming Finite Elements in Java

The finite element method (FEM) is a computational technique for solving problems which are described by partial differential equations or which can be formulated as functional minimization. The FEM is commonly used in the design and development of products, especially where structural analysis is involved. The simple object model of the...

Flexible Shift Planning in the Service Industry: The Case of Physicians in Hospitals
Flexible Shift Planning in the Service Industry: The Case of Physicians in Hospitals

The book presents new ideas to model and solve the flexible shift planning problem of personnel workers in the service industry. First, a new modeling approach is proposed that requires shifts to be generated implicitly rather than employing a predefined set of shift types like three 8-hour or two 12-hour shifts to cover varying forecast demand....

97 Things Every Programmer Should Know: Collective Wisdom from the Experts
97 Things Every Programmer Should Know: Collective Wisdom from the Experts

Programmers have a lot on their minds . Programming languages, programming techniques, development environments, coding style, tools, development process, deadlines, meetings, software architecture, design patterns, team dynamics, code, requirements, bugs, code quality. And more. A lot. There is an art, craft, and science to programming that...

Comparative Gene Finding: Models, Algorithms and Implementation (Computational Biology)
Comparative Gene Finding: Models, Algorithms and Implementation (Computational Biology)

This unique text/reference describes the state of the art in computational gene finding, with a particular focus on comparative approaches. Providing both an overview of the various methods that are applied in the field, and a concise guide on how computational gene finders are built, the book covers a broad range of topics from probability...

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