This tutorial text gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches -which are based on optimization techniques - together with the Bayesian inference approach, whose essence lies in the use of a hierarchy of probabilistic models. The book presents the major machine learning methods as they have been developed in different disciplines, such as statistics, statistical and adaptive signal processing and computer science. Focusing on the physical reasoning behind the mathematics, all the various methods and techniques are explained in depth, supported by examples and problems, giving an invaluable resource to the student and researcher for understanding and applying machine learning concepts. The book builds carefully from the basic classical methods to the most recent trends, with chapters written to be as self-contained as possible, making the text suitable for different courses: pattern recognition, statistical/adaptive signal processing, statistical/Bayesian learning, as well as short courses on sparse modeling, deep learning, and probabilistic graphical models. All major classical techniques: Mean/Least-Squares regression and filtering, Kalman filtering, stochastic approximation and online learning, Bayesian classification, decision trees, logistic regression and boosting methods. The latest trends: Sparsity, convex analysis and optimization, online distributed algorithms, learning in RKH spaces, Bayesian inference, graphical and hidden Markov models, particle filtering, deep learning, dictionary learning and latent variables modeling. Case studies - protein folding prediction, optical character recognition, text authorship identification, fMRI data analysis, change point detection, hyperspectral image unmixing, target localization, channel equalization and echo cancellation, show how the theory can be applied. MATLAB code for all the main algorithms are available on an accompanying website, enabling the reader to experiment with the code.
The Unified Modeling Language (UML) provides an environment for modeling complex systems. It supports a variety of diagrams for analyzing, designing, and implementing software systems. During the requirements phase, developers abstract concepts from the application domain and describe what the system is intended to do, not how it will do it. UML was adopted as a standard for OO modeling by the Object Management Group in 1997 and has found use in various software development projects. However, the continued success of any new technology depends a great deal on its usability. To predict the future success of a language like UML it is important to address the issue of usability from the perspective of the users of the language, the software developers. This publication reports on the results of an empirical study aimed at assessing the usability of UML for developing software requirements. It addresses the dimensions of ease of use, usefulness, and usefulness for communicating requirements to various project stakeholders.
This practical book discusses in detail computer-aided engineering (CAE) of bending metal sheets and profiles. The presented methods reduce the rollout time for new manufacturing designs of bent details in the automobile, aircraft and other industries. The author provides step-by-step introductions and thus enables readers to create their own projects in CAE systems. The book consists of six sections covering topics such as theory of bending and the operation of stamping the blanks, CAE modeling of multi-angular bending and stretch bending, the theory of optimal layout of blanks on the sheet and implementing this in programs. Written primarily for practicing engineers and scientists, it is also beneficial for teachers, students and graduate students.
O´Reilly´s bestselling book on Linux´s bash shell is at it again. Now that Linux is an established player both as a server and on the desktop Learning the bash Shell has been updated and refreshed to account for all the latest changes. Indeed, this third edition serves as the most valuable guide yet to the bash shell. As any good programmer knows, the first thing users of the Linux operating system come face to face with is the shell the UNIX term for a user interface to the system. In other words, it´s what lets you communicate with the computer via the keyboard and display. Mastering the bash shell might sound fairly simple but it isn´t. In truth, there are many complexities that need careful explanation, which is just what Learning the bash Shell provides. If you are new to shell programming, the book provides an excellent introduction, covering everything from the most basic to the most advanced features. And if you´ve been writing shell scripts for years, it offers a great way to find out what the new shell offers. Learning the bash Shell is also full of practical examples of shell commands and programs that will make everyday use of Linux that much easier. With this book, programmers will learn: - How to install bash as your login shell - The basics of interactive shell use, including UNIX file and directory structures, standard I/O, and background jobs - Command line editing, history substitution, and key bindings - How to customize your shell environment without programming - The nuts and bolts of basic shell programming, flow control structures, command-line options and typed variables - Process handling, from job control to processes, coroutines and subshells - Debugging techniques, such as trace and verbose modes - Techniques for implementing system-wide shell customization and features related to system security
During task composition, such as can be found in distributed query processing, workflow systems and AI planning, decisions have to be made by the system and possibly by users with respect to how a given problem should be solved. Although there is often more than one correct way of solving a given problem, these multiple solutions do not necessarily lead to the same result. Some researchers are addressing this problem by providing data provenance information. Others use expert advice encoded in a supporting knowledge-base. However, users do not usually trust complete automation during decision-making for certain domains with natural variation, like biology; they need a way to be able to control and/or intervene with the system´s reasoning to verify parts of the process. This book provides a thorough analysis of the problem and presents a data-centric methodology of measuring decision criticality and describe its potential use. We argue that agent technology is a natural fit for the design of distributed heterogeneous integration systems, particularly in bioinformatics, and we propose a multi-agent system design and architecture as the basis of our framework.
Este trabalho aborda modelos de autenticação para ambientes de computação em nuvem, de forma a padronizar a hierarquia de uma árvore RBAC baseado em modelos pre-existentes, melhorando seus controle de acesso de acordo com a função de cada usuário dentro da árvore através de implementação de Ontologias dentro da árvore RBAC. O uso da Ontologia permite a inclusão de novas funções nos modelos padrões, associando as devidas funcionalidades ao perfil de acesso, sem ocorrência de ambiguidades.
This book constitutes the refereed proceedings of the 13th IFIP TC 9 International Conference on Human Choice and Computers, HCC13 2018, held at the 24th IFIP World Computer Congress, WCC 2018, in Poznan, Poland, in September 2018 . The 29 revised full papers presented were carefully reviewed and selected from 48 submissions. The papers are based on both academic research and the professional experience of information practitioners working in the field. They deal with multiple challenges society will be facing in the future and are organized in the following topical sections: history of computing: ´´this changed everything´´; ICT4D and improvements of ICTs; ICTs and sustainability; gender; ethical and legal considerations; and philosophy.
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Dieses Buch ist ein Praxisleitfaden für alle Outlook-Anwender, die sich angesichts zu vieler unerledigter Mails ein einfaches, automatisches und wirkungsvolles System zum Aussortieren, Strukturieren und Abarbeiten der täglichen Mailflut wünschen. Inhalte: - Das 3-Schritt-System: Abfall, Handeln, Ablage - Outlooks eingebaute Wiedervorlage - Systemrelevante Kategorien erstellen - Benutzerdefinierte QuickSteps einrichten - Ansichten zur automatisierten Verwaltung erstellen - Tipps zum Archivieren von Mails - Tipps zum Suchen und Finden von Outlook Elementen BONUSMATERIAL: ´´Lernvideos zum Buch´´: Als Käufer dieses Buches erhalten Sie 3 Monate lang kostenlosen Zugang zu begleitenden Lernvideos.
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In Learn Robotics with Raspberry Pi, you´ll learn how to build and code your own robot projects with just the Raspberry Pi microcomputer and a few easy-to-get components - no prior experience necessary! Matt Timmons-Brown (creator of the world´s most-popular Raspberry Pi YouTube channel: The Raspberry Pi Guy) takes you through the process of building your own robot with the Raspberry Pi microcomputer - with no experience necessary! Starting from the ground up, you´ll add complexity to your robot with each chapter by adding and tweaking code and components, and also receive mentorship through a wide variety of different projects - from wireless controllers to line following! By the end of the book, you´ll know how to apply the knowledge you´ve gained to build other robots. If you´re ready to level up your robotics skills with Raspberry Pi, let Learn Robotics with Raspberry Pi be your guide!
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