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Model Selection and Error Estimation in a Nutshell

Author: Luca Oneto
Publisher: Springer
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How can we select the best performing data-driven model? How can we rigorously estimate its generalization error? Statistical learning theory answers these questions by deriving non-asymptotic bounds on the generalization error of a model or, in other words, by upper bounding the true error of the learned model based just on quantities computed on the available data. However, for a long time, Statistical learning theory has been considered only an abstract theoretical framework, useful for inspiring new learning approaches, but with limited applicability to practical problems. The purpose of this book is to give an intelligible overview of the problems of model selection and error estimation, by focusing on the ideas behind the different statistical learning theory approaches and simplifying most of the technical aspects with the purpose of making them more accessible and usable in practice. The book starts by presenting the seminal works of the 80’s and includes the most recent results. It discusses open problems and outlines future directions for research.


LPI Linux Certification in a Nutshell

Author: Adam Haeder
Publisher: "O'Reilly Media, Inc."
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Linux deployment continues to increase, and so does the demand for qualified and certified Linux system administrators. If you're seeking a job-based certification from the Linux Professional Institute (LPI), this updated guide will help you prepare for the technically challenging LPIC Level 1 Exams 101 and 102. The third edition of this book is a meticulously researched reference to these exams, written by trainers who work closely with LPI. You'll find an overview of each exam, a summary of the core skills you need, review questions and exercises, as well as a study guide, a practice test, and hints to help you focus. Major topics include: Critical GNU and Unix commands Linux installation and package management Devices and filesystems Text editing, processing, and printing The X Window System Networking and security Mail transfer agents Email, FTP, and web services These exams are for junior to mid-level Linux administrators with about two years of practical system administration experience. You should be comfortable with Linux at the command line and capable of performing simple tasks, including system installation and troubleshooting.


Encyclopedia of Algorithms

Author: Ming-Yang Kao
Publisher: Springer Science & Business Media
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One of Springer’s renowned Major Reference Works, this awesome achievement provides a comprehensive set of solutions to important algorithmic problems for students and researchers interested in quickly locating useful information. This first edition of the reference focuses on high-impact solutions from the most recent decade, while later editions will widen the scope of the work. All entries have been written by experts, while links to Internet sites that outline their research work are provided. The entries have all been peer-reviewed. This defining reference is published both in print and on line.


Adaptive Learning Methods for Nonlinear System Modeling

Author: Danilo Comminiello
Publisher: Butterworth-Heinemann
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Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data example-by-example and allow to model even complex nonlinearities, e.g., showing time-varying and dynamic behaviors. Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. This book may be also of interest to the industry market and practitioners working with a wide variety of nonlinear systems. Presents the key trends and future perspectives in the field of nonlinear signal processing and adaptive learning. Introduces novel solutions and improvements over the state-of-the-art methods in the very exciting area of online and adaptive nonlinear identification. Helps readers understand important methods that are effective in nonlinear system modelling, suggesting the right methodology to address particular issues.


Numerical Methods and Optimization in Finance

Author: Manfred Gilli
Publisher: Academic Press
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Computationally-intensive tools play an increasingly important role in financial decisions. Many financial problems—ranging from asset allocation to risk management and from option pricing to model calibration—can be efficiently handled using modern computational techniques. Numerical Methods and Optimization in Finance presents such computational techniques, with an emphasis on simulation and optimization, particularly so-called heuristics. This book treats quantitative analysis as an essentially computational discipline in which applications are put into software form and tested empirically. This revised edition includes two new chapters, a self-contained tutorial on implementing and using heuristics, and an explanation of software used for testing portfolio-selection models. Postgraduate students, researchers in programs on quantitative and computational finance, and practitioners in banks and other financial companies can benefit from this second edition of Numerical Methods and Optimization in Finance. Introduces numerical methods to readers with economics backgrounds Emphasizes core simulation and optimization problems Includes MATLAB and R code for all applications, with sample code in the text and freely available for download


IEEE Symposium on Information Visualization 2002

Author: Pak Chung Wong
Publisher: IEEE
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Consists of 15 full papers and eight short papers that present recent work in the study of visual and interactive representations of abstract information. The main subjects of the October 2002 symposium are databases, empirical studies, visualizing hierarchies, sequences, patterns, huge data sets, g


Books in Print Supplement

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Canadiana

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Concepts of Programming Languages

Author: Robert W. Sebesta
Publisher: Addison-Wesley Longman
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Concepts of Programming Languages is ideal for undergraduate students in Computer Science and Computer Programming courses. It is an ideal reference encapsulating the history and future of programming languages. Now in its Ninth Edition, Concepts of Programming Languages introduces students to the main constructs of contemporary programming languages and provides the tools needed to critically evaluate existing and future programming languages. Readers gain a solid foundation for understanding the fundamental concepts of programming languages through the author's presentation of design issues for various language constructs, the examination of the design choices for these constructs in some of the most common languages, and critical comparison of the design alternatives. In addition, Sebesta strives to prepare the reader for the study of compiler design by providing an in-depth discussion of programming language structures, presenting a formal method of describing syntax, and introducing approaches to lexical and syntactic analysis.