Java Virtual Machine

This book focuses on the legal aspects of virtual currencies from the perspective of financial and economic law. It establishes a typology of virtual currencies and assesses whether they can be consid

This book is centred about the Principle of virtual work and the related method for mechanical modelling. It aims at showing and enhancing the polyvalence and versatility of the virtual work approach

Logan and his robot cousin Java are playing ball in the garage, a.ka. Mom’s lab, when they accidentally break her haircutting machine. They need to get a new one fast! The good news: they find one onl

This collection presents an array of policy debates and implications emerging from virtual work. The authors cover a range of areas, including: conceptual debates, measuring virtual work; discourses a

'Managing Virtual Teams' explores the critical elements that must be considered in managing virtual teams in organizations from structural, managerial, and process points-of-view. Based in solid resea

Although virtual worlds continue to grow in popularity, a substantial amount of research is needed to determine best practices in virtual spaces. The artistic community is one field where virtual worl

This book is about the construction of identity in digitised and virtual screen environments. It investigates the phenomenon of three-dimensional virtual worlds in relation to our physical selves. Usi

Part one of Machine-to-Machine (M2M) Communications covers machine-to-machine systems, architecture and components. Part two assesses performance management techniques for M2M communications. Part thr

Three paradigms have dominated machine translation (MT)—rule-based machine translation (RBMT), statistical machine translation (SMT), and example-based machine translation (EBMT). These paradigms diff

Writing Virtual Environments for Software Visualization book describes the software for a networked, 3D multi-user virtual environment that allows users to create and share remotely visualizations of

This collection anthropologically analyzes aspects of the virtual world of Second Life during the years 2010-2013, a period marked by economic decline in the virtual world, but ongoing projects of art

Reconfigures classic aesthetic concepts in relation to the novelty introduced by virtual bodies. Arguing that the virtual body is something newnamely, an entity that from an ontological perspective ha

"In this, the first text written specifically on how to design virtual worlds for educational purposes, the authors explore: the history and evolution of virtual worlds (commercial and educational), t

Innovative Developments in Virtual and Physical Prototyping presents essential research in the area of Virtual and Rapid Prototyping. The volume contains reviewed papers presented at the 5th Internati

Trust is essential to human society and the good life. At the same time, citizens of developed countries spend more and more time in virtual environments. This collection asks how far virtual environm

Virtual Manufacturing presents a novel concept of combining human computer interfaces with virtual reality for discrete and continuous manufacturing systems. The authors address the relevant concepts

《VIRTUAL GEOGRAPHIC ENVIRONMENTS(英文版)(精)》: This book presents the state-of-the-art in integrating geographic information systems (GIS) with visualization through the media of virtual geographic enviro

Praise for Uniting the Virtual Workforce "Uniting the Virtual Workforce offers much-needed guidance on how to navigate the largely unmapped territory of virtual work environments in the globa

Virtual reality isn't just for video games anymore. Westwood (with a biomedical communications company in San Luis Obispo, CA) shares his vision of making virtual reality-based medical innovations ava

Because of its portability and platform-independence, Java is the ideal computer programming language to use when working on graph algorithms and other mathematical programming problems. Collecting so

The International Handbook of Virtual Learning Environments was developed to explore Virtual Learning Environments (VLE’s), and their relationships with digital, in real life and virtual worlds. The b

"This encyclopedia of virtual communities and technologies provides a much needed integrated overview of all the critical concepts, technologies and issues in the area of virtual communities"--Provide

"This book investigates issues around teams in the virtual and hybrid classroom, offering a view of current research and practice on the subject of virtual and collaborative teams in teaching and lear

Cybersecurity attacks grow more complex every day. The first edition of Wilson's COMPTIA PENTEST+ GUIDE TO PENETRATION TESTING helps you gain the knowledge and skills necessary to analyze systems in the same way hackers do. It provides the information you need to successfully pass the CompTIA PenTest+ PTO-002 certification exam and contains detailed examples, projects, and hands-on activities (including virtual machine labs and interactive online features) where you can practice using the actual tools and methodologies needed to be a successful penetration tester. The author begins by exploring the concept of penetration testing, and then walks you through the process of building your own penetration testing lab of virtual machines (hosted on your own computer, which is used to practice the use of pen testing tools and methods). A final project guides you in the creation of a penetration testing report that includes all the areas covered in earlier modules.

Virtual Holocaust Memory offers the first comprehensive account of a unique historical juncture, as twenty-first century digital culture meets the edge of living Holocaust memory.

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the ne

Features software workshops for 3ds Max, Maya, CINEMA 4D, Lightwave, and Softimage XSI. This title helps you get the techniques you need to create your own virtual vixens. It demonstrates the work cyc

A global pandemic. Panic. Social distancing. Working from home.In a heartbeat, we went from happy hours to virtual happy hours. From conferences to virtual conferences. From selling to virtual selling

Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization. Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing.

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every cha

Machine Vision and Image Recognition informs the readers about the behavior fusion for visually guided service robots and the approaches and limitation in achieving vision in machine. The readers are

For courses in machine shop, machine tool technology, machining processes/manufacturing processes technology, industrial technology, industrial mechanics, and industrial engineering at the undergradua

Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investmentBig Data and Machine Learning in Quantitative Investment is not just about demonstrat

Java in Two Semesters caters both for those taking a first programming course in Java, as well as those going on to specialise in programming and software engineering.This revised and updated new edit

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.This book is a general introduction to machine learning that can serve as a textbook f

This book presents the latest techniques for machine learning based data analytics on IoT edge devices. A comprehensive literature review on neural network compression and machine learning accelerator

Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools

This innovative approach to teaching Java language and programming uses game design development as the method to applying concepts. Instead of teaching game design using Java, projects are designed to

‘On this machine, I intend to explore time ...’The time traveller has invented a time machine. Its capabilities are beyond even his fertile imagination. Hundreds of thousand of years in the future, th

We are witnessing a revolution in storytelling. Publications all over the world are increasingly using immersive storytelling—virtual reality, augmented reality and mixed reality—to tell compelling st