Machine Learning Applications In Software Engineering

Master the principles of economics, and gain an understanding of current economic situations with the solid introduction and policy-based examples and applications found in MACROECONOMICS: PRINCIPLES

This book addresses the integration of new devices (such as the iPhone), new technologies (such as cloud computing and green computing), and new software systems in pervasive and ubiquitous computing

If you are a web or a full-stack JavaScript developer who is interested in learning how to build modern web applications using the MEAN stack, this book is for you.

Behind the lectern stands the professor, deploying course management systems, onlinequizzes, wireless clickers, PowerPoint slides, podcasts, and plagiarism-detection software. In theseats are the stud

This book reviews the Software Development and Engineering Principles involved in the Design of Embedded Computer Systems.A LAMP (Linux Apache MySQL PHP) design for a Web-Based Home Control / Security

Modern power electronic converters are involved in a very broad spectrum of applications: switched-mode power supplies, electrical-machine-motion-control, active power filters, distributed power gener

Frontiers in Education: Computer Science and Computer Engineering is a compendium of articles and papers that were presented at FECS '13, an international conference that serves researchers, scholars,

The standard work for engineers, technicians and other practitioners working in melting shops and foundries appeared in a second, completely revised edition. This new version of the title on inductive

This bookisan outgrowthoften yearsof researchatthe Universityof Florida Computational NeuroEngineering Laboratory (CNEL) in the general area of statistical signal processing and machine learning. One

Designed for business professionals, Excel users (including Excel 2010), or for a course in fundamental statistics with business applications, this book is for those who need to use the Data Analysis

Advanced materials play a crucial role in modern engineering applications where they are often exposed to complex loading and environmental conditions. In many cases, new approaches are needed to char

This book contains mechatronics laboratory exercises designed to give the student hands-on experience with applications of the concepts covered in a mechatronics course. 14 laboratory exercises are in

Prepare for exams and succeed in your mathematics course with this comprehensive solutions manual! Featuring worked out-solutions to the problems in BEGINNING AND INTERMEDIATE ALGEBRA: CONNECTING CONC

Hosted by Dana Mosely, these text-specific DVDs cover all sections of the text and provide explanations of key concepts, examples, exercises, and applications in a lecture-based format. DVDs are close

Understanding the behaviour of particles suspended in a fluid has many important applications across a range of fields, including engineering and geophysics. Comprising two main parts, this book begins with the well-developed theory of particles in viscous fluids, i.e. microhydrodynamics, particularly for single- and pair-body dynamics. Part II considers many-body dynamics, covering shear flows and sedimentation, bulk flow properties and collective phenomena. An interlude between the two parts provides the basic statistical techniques needed to employ the results of the first (microscopic) in the second (macroscopic). The authors introduce theoretical, mathematical concepts through concrete examples, making the material accessible to non-mathematicians. They also include some of the many open questions in the field to encourage further study. Consequently, this is an ideal introduction for students and researchers from other disciplines who are approaching suspension dynamics for the f

Blending theoretical results with practical applications, this book provides an introduction to random matrix theory and shows how it can be used to tackle a variety of problems in wireless communications. The Stieltjes transform method, free probability theory, combinatoric approaches, deterministic equivalents and spectral analysis methods for statistical inference are all covered from a unique engineering perspective. Detailed mathematical derivations are presented throughout, with thorough explanation of the key results and all fundamental lemmas required for the reader to derive similar calculus on their own. These core theoretical concepts are then applied to a wide range of real-world problems in signal processing and wireless communications, including performance analysis of CDMA, MIMO and multi-cell networks, as well as signal detection and estimation in cognitive radio networks. The rigorous yet intuitive style helps demonstrate to students and researchers alike how to choose

It is now clear that semi-Markov processes play an increasingly crucial role in business and industry; this is partially due to the fact that, with the powerful mathematical software now existing, t

With a focus on designing applications, this book presents a step-by-step architectural approach to learning and mastering design patterns using C#. The author provides guidance for the architecture a

Including the historical background and recent advances in the field as well as theoretical perspectives and real-world applications, this book outlines a systematic framework for implementing semi-su

Written in cookbook style, this book offers learning and techniques through recipes. It contains step-by-step instructions for CakePHP developers to create unique web applications. The book is designe

The subject of data-driven modeling has been addressed in various disciplines such as statistics, pattern recognition, signal processing, genomics, artificial neural networks, machine learning, and d

Problem Solving in Soil Mechanics is primarily designed as a supplement to Soil Mechanics: Basic Concepts and Engineering Applications, but can be used as an independent problem solving text, since th

This Excel-based software program contains templates that allow students to work all short exercises, exercises, problems, and cases in the text. With an easy-to-use interface, this ideal alternative

Stormy development of electronic computation techniques (computer systems and software), observed during the last decades, has made possible automation of data processing in many important human activ

The efficient numerical solution of PDE constrained optimization problems plays an important role in many engineering and science applications. The development of robust and efficient numerical algori

This manual contains a wealth of hands-on activities correlated with chapters in the text. These activities promote learning of concepts and provide valuable hands-on geometry experience.

Machine learning develops intelligent computer systems that are able to generalizefrom previously seen examples. A new domain of machine learning, in which the prediction mustsatisfy the additional co

State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure. Machine learning develops intelligent computer systems that are able to genera

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

The brief introductory text by Nevid, Essentials of Psychology: Concepts and Applications retains the hallmark features that have made its parent text unique in the market, while offering a more manag

The Semantic Web, that adds a conceptual layer of machine-understandable metadata to the existing content, will make the content available for processing by intelligent software allowing automatic res

Functions of a complex variable are used to solve applications in various branches of mathematics, science, and engineering. Functions of a Complex Variable: Theory and Technique is a book in a specia

The process of inductive inference -- to infer general laws and principles from particular instances -- is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Des

College Algebra: A Concise Course provides a solid understanding of algebra, using modeling techniques and real-world data applications. The text is effective for students who will continue on in math

The study of type systems for programming languages now touches many areas of computer science, from language design and implementation to software engineering, network security, databases, and analy

Written as a resource for both pre-service and in-service educators, this theory-to-practice book focuses on the foundations and applications of constructivism applied to the teaching and learning of

Data mining, or knowledge discovery, has become an indispensable technology for businesses and researchers in many fields. Drawing on work in such areas as statistics, machine learning, pattern recog

This video provides text-specific explanations of key concepts, examples, exercises, and applications in a lecture-based format. Ideal if students miss a lecture or need more step-by-step explanations

This collection of papers illustrates the work done within a research project on structural identification and diagnostics. The papers deal with problems taken from civil engineering applications and

Papers from an August 2002 workshop reflect recent research on statistical inference, signal separation, physics applications, and inductive logic theory. Some specific topics include Chernoff's bound