Machine Learning Applications In Software Engineering

Many machine learning algorithms require real-valued feature vectors of data instances as inputs. By projecting data into vector spaces, representation learning techniques have achieved promising performance in many areas such as computer vision and natural language processing. There is also a need to learn representations for discrete relational data, namely networks or graphs. Network Embedding (NE) aims at learning vector representations for each node or vertex in a network to encode the topologic structure. Due to its convincing performance and efficiency, NE has been widely applied in many network applications such as node classification and link prediction.This book provides a comprehensive introduction to the basic concepts, models, and applications of network representation learning (NRL). The book starts with an introduction to the background and rising of network embeddings as a general overview for readers. Then it introduces the development of NE techniques by presenting se

Packed with hands-on applications, Babbie's THE PRACTICE OF SOCIAL RESEARCH, 15th Edition, equips your students with the tools they need to practically apply research concepts as both researchers and consumers. Known as the "gold standard" for research methods, the text delivers a comprehensive, straightforward introduction to the field of research as practiced by social scientists. Dr. Babbie emphasizes the research process by showing students how to design and construct projects, introducing the various observation modes in use today. The new edition includes "What do you think?" puzzles that immediately draw students into chapter concepts. General Social Survey data is updated throughout while new coverage includes the global use of social research, the emerging role of big data, demographic analysis and more. Also available: MindTap digital learning solution.

Elasticity: Theory, Applications, and Numerics, Fourth Edition, continues its market-leading tradition of concisely presenting and developing the linear theory of elasticity, moving from solution methodologies, formulations, and strategies into applications of contemporary interest, such as fracture mechanics, anisotropic and composite materials, micromechanics, nonhomogeneous graded materials, and computational methods. Developed for a one- or two-semester graduate elasticity course, this new edition has been revised with new worked examples and exercises, and new or expanded coverage of areas such as treatment of large deformations, fracture mechanics, strain gradient and surface elasticity theory, and tensor analysis. Using MATLAB software, numerical activities in the text are integrated with analytical problem solutions.Online ancillary support materials for instructors include a solutions manual, image bank, and a set of PowerPoint lecture slides.

Materials for Biomedical Engineering: Biopolymer Fibers discusses the use of biopolymer fibers in the development of biomedical applications. It provides a recent review of the main types of polymeric

Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for th

The Student Solutions Manual contains fully worked-out solutions to all of the exercises not completely answered in Appendix B, and is divisible by 3. The Study Guide also includes alternate explanati

Mathematical methods and theories with interdisciplinary applications are presented in this book. The eighteen contributions presented in this Work have been written by eminent scientists; a few paper

This book presents the fundamentals of spectral imaging and discusses the technical challenges in new and emerging applications including hardware and software implementations. Different innovative so

Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning, genomics, image processing, pattern re

Managerial Epidemiology will help future administrators and managers of health services in planning and delivery of health services through data-driven evidence-based management practices. This new fi

"This book presents the state-of-the-art in energetic materials research, focusing in several different aspects. Thermal analysis, simulations (kinetics, quantum mechanical, thermodynamics, combustion

This book highlights the importance of security in the design, development and deployment of systems based on Software-Defined Networking (SDN) and Network Functions Virtualization (NFV), together ref

This volume documents on-going research and theorising in the sub-field of mathematics education devoted to the teaching and learning of mathematical modelling and applications. Mathematical modelling

In this book, the editors and authors report the recent advances and technology breakthroughs in exoskeleton developments. The book will be of interest to engineers and researchers in academia as well

Structural Dynamics: Concepts and Applications focuses on dynamic problems in mechanical, civil and aerospace engineering through the equations of motion. The text explains structural response from dy

This book offers an overview of programmes designed to support the learning of gifted and talented students in STEM subjects, both to allow them to meet their potential and to encourage them to procee

The first edition covers a large span of modeling applications in environmental engineering. Technical changes and developments in problem solving issues and computer programming techniques dictate th

In mechanical engineering the trend towards increasingly flexible solutions is leading to changes in control systems. The growth of mechatronic systems and modular functional units is placing high dem

There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive

This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to furth

Enjoy learning a key technology. Undergraduates and beginning graduates in both first and second simulation courses have responded positively to the approach taken in this text, which illustrates simu

This book comprises the most significant advances accomplished in enzyme engineering by means of directed evolution and semi-rational approaches. Special attention is paid to the use of directed evolu

This textbook reviews reliability and risk analysis techniques and their applications and limitations for those in engineering, focusing on reliability analysis. It defines reliability, availabili

Deriving a reasonable mathematical model is fundamental to the analysis, design and control of a dynamic system. The most important factor in model-reduction procedures is approximation error. Sometim

It is said that you truly understand an engineering concept when you can visualize it in your "mind's eye." This is especially true in the mechanics of materials course, one of the most challenging su