The total of 265 high-quality papers presented were carefully reviewed and selected from 1073 submissions. The topics of Part III covered are: machine vision; natural language processing; nature computation; neural computation; neural networks; particle swarm optimization; pattern recognition; rough set theory; and support vector machine.
This book is geared for graduates students and researchers inneural networks, image processing, machine learning, computervision, and other areas of biologically inspired model building andapplications. The book can also be used by practicing engineerslooking for techniques involving the application of image coding,video processing, machine vision and brain-like robots toreal-world systems. Other students and researchers withinterdisciplinary interests will also find this book appealing.Provides a key knowledge boost to developers of imageprocessing applicationsIs unique in emphasizing the practical utility of attentionmechanismsIncludes a number of real-world examples that readers canimplement in their own work:robot navigation and object selectionimage and video quality assessmentimage and video codingProvides codes for users to apply in practical attentionalmodels and mechanisms
The 32 contributions presented in this volume were carefully reviewed and selected from numerous submissions. In addition two keynote talks are included in this book. The topics covered are computer supported collaborative learning, experiences in hybrid learning, electronic learning, pedagogical and psychological issues, hybrid learning systems, and organizational frameworks for hybrid learning.
The total of 265 high-quality papers presented were carefully reviewed and selected from 1073 submissions. The topics of Part I covered are: applications of artificial intelligence; applications of computational intelligence; automated problem solving; biomedical inforamtics and computation; brain models/cognitive science; data mining and knowledge discovering; distributed AI and agents; evolutionary programming; expert and decision support systems; fuzzy computation; fuzzy logic and soft computing; and genetic algorithms.
The 35 papers presented were carefully reviewed and selected from 104 submissions. The selected papers cover various aspects on experiences in hybrid learning, computer supported collaborative learning, improved flexibility of learning processes, learning styles and behaviours, and pedagogical and other issues.
The 32 contributions presented in this volume were carefully reviewed and selected from numerous submissions. In addition two keynote talks are included in this book. The topics covered are practices in borderless education, pedagogical issues and practice, organizational frameworks for hybrid learning, experiences in hybrid learning, computer supported collaborative learning, and interactive hybrid learning systems.
The 35 papers presented in this volume were carefully reviewed and selected from numerous submissions. The selected articles broadly cover topics on hybrid learning and continuing education, including computer supported collaborative learning, experiences in hybrid learning, pedagogical and psychological issues, e-learning and mobile learning, open education resources and open online courses, and issues in hybrid learning and continuing education.
The 26 full papers presented in this volume were carefully reviewed and selected from 41 submissions. They were organized in topical sections named: technology-enabled learning; mobile learning and ubiquitous learning; open learning and online learning; institutional strategies, policies and practices; and learning platforms and advising systems.
In this third edition, with a new chapter on Data Normalization the author shows once the databases have been converted, how to integrate them for consolidating information, and how to normalize them so that they are efficient and user friendly.
Many examples, illustrations and case studies together with questions and answers ensure that the methodology is easy to follow. Ideal as a textbook for students studying information systems theories, Information Systems Reengineering Integration and Normalization will also be a valuable management reference book for Information Technology Practitioners. Additional material is available on www.extramaterials/978-3-319-12294-6
The total of 265 high-quality papers presented were carefully reviewed and selected from 1073 submissions. The topics of Part II covered are: heuristic searching methods; immune computation; information security; information theory; intelligent control; intelligent image processing; intelligent information fusion; intelligent information retrieval; intelligent signal processing; knowledge representation; and machine learning.
“Artfully envisions a breathtakingly better world.” —Los Angeles Times
“Elaborate, smart and persuasive.” —The Boston Globe
“A pleasure to read.” —The Wall Street Journal
One of CBS News’s Best Fall Books of 2005 • Among St Louis Post-Dispatch’s Best Nonfiction Books of 2005 • One of Amazon.com’s Best Science Books of 2005
A radical and optimistic view of the future course of human development from the bestselling author of How to Create a Mind and The Age of Spiritual Machines who Bill Gates calls “the best person I know at predicting the future of artificial intelligence”
For over three decades, Ray Kurzweil has been one of the most respected and provocative advocates of the role of technology in our future. In his classic The Age of Spiritual Machines, he argued that computers would soon rival the full range of human intelligence at its best. Now he examines the next step in this inexorable evolutionary process: the union of human and machine, in which the knowledge and skills embedded in our brains will be combined with the vastly greater capacity, speed, and knowledge-sharing ability of our creations.
From the Trade Paperback edition.
A Huffington Post Definitive Tech Book of 2013
Artificial Intelligence helps choose what books you buy, what movies you see, and even who you date. It puts the "smart" in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But Artificial Intelligence can also threaten our existence.
In as little as a decade, AI could match and then surpass human intelligence. Corporations and government agencies are pouring billions into achieving AI's Holy Grail—human-level intelligence. Once AI has attained it, scientists argue, it will have survival drives much like our own. We may be forced to compete with a rival more cunning, more powerful, and more alien than we can imagine.
Through profiles of tech visionaries, industry watchdogs, and groundbreaking AI systems, Our Final Invention explores the perils of the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? And will they allow us to?
Ray Kurzweil is arguably today’s most influential—and often controversial—futurist. In How to Create a Mind, Kurzweil presents a provocative exploration of the most important project in human-machine civilization—reverse engineering the brain to understand precisely how it works and using that knowledge to create even more intelligent machines.
Kurzweil discusses how the brain functions, how the mind emerges from the brain, and the implications of vastly increasing the powers of our intelligence in addressing the world’s problems. He thoughtfully examines emotional and moral intelligence and the origins of consciousness and envisions the radical possibilities of our merging with the intelligent technology we are creating.
Certain to be one of the most widely discussed and debated science books of the year, How to Create a Mind is sure to take its place alongside Kurzweil’s previous classics which include Fantastic Voyage: Live Long Enough to Live Forever and The Age of Spiritual Machines.
From the Hardcover edition.
Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself.
Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines.
The brain is not a computer, but a memory system that stores experiences in a way that reflects the true structure of the world, remembering sequences of events and their nested relationships and making predictions based on those memories. It is this memory-prediction system that forms the basis of intelligence, perception, creativity, and even consciousness.
In an engaging style that will captivate audiences from the merely curious to the professional scientist, Hawkins shows how a clear understanding of how the brain works will make it possible for us to build intelligent machines, in silicon, that will exceed our human ability in surprising ways.
Written with acclaimed science writer Sandra Blakeslee, On Intelligence promises to completely transfigure the possibilities of the technology age. It is a landmark book in its scope and clarity.
Why do some games become boring quickly, while others remain fun for years? How do games serve as fundamental and powerful learning tools? Whether you’re a game developer, dedicated gamer, or curious observer, this illustrated, fully updated edition helps you understand what drives this major cultural force, and inspires you to take it further.
You’ll discover that:Games play into our innate ability to seek patterns and solve puzzlesMost successful games are built upon the same elementsSlightly more females than males now play gamesMany games still teach primitive survival skillsFictional dressing for modern games is more developed than the conceptual elementsTruly creative designers seldom use other games for inspirationGames are beginning to evolve beyond their prehistoric origins
This innovative, comprehensive book examines the user-centered design process from the perspective of a designer. With rich imagery,Interactive Designintroduces the different UX players, outlines the user-centered design process from user research to user testing, and explains through various examples how user-centered design has been successfully integrated into the design process of a variety of design studios worldwide.
If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.What You Will LearnExplore how to use different machine learning models to ask different questions of your dataLearn how to build neural networks using Keras and TheanoFind out how to write clean and elegant Python code that will optimize the strength of your algorithmsDiscover how to embed your machine learning model in a web application for increased accessibilityPredict continuous target outcomes using regression analysisUncover hidden patterns and structures in data with clusteringOrganize data using effective pre-processing techniquesGet to grips with sentiment analysis to delve deeper into textual and social media dataIn Detail
Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success.
Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization.Style and approach
Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.
The available average good books on AutoCAD are horribly containing 2-3 thousands of pages for main text, with dozens of pages, only for their contents. All these mess is full of unnecessary details of even very simpler commands, which user can easily learn intuitively. Even after the bulk of pages they skip some really useful commands, which could otherwise boost the productivity of end user.
While this reference guide is intended to provide a compact guide of AutoCAD to a wide range of working CAD professionals and students, ranging from engineering streams (architectural, civil, mechanical, electrical, etc.) to non-technical streams. We are relying heavily on the AutoCAD’s user friendly interface while writing the reference guide, as after entering the command alias in AutoCAD, it, itself, tells ‘n asks for minimum ‘n necessary details through command line. So, practically, there is no need of written procedural details.
As this reference guide book is complimentary with the ‘AutoCAD-Advanced’ and ‘AutoCAD-Professional’ courses of ‘4Dimensions’, most commands given in this guide need at least one time lab training on real projects by an experienced tutor/professional. Each command, once mastered, doesn’t need the whole procedure to be remembered exactly (as different versions may have different procedures).
Content Development Team
SQLite is a small, embeddable, SQL-based, relational database management system. It has been widely used in low- to medium-tier database applications, especially in embedded devices. This book provides a comprehensive description of SQLite database system. It describes design principles, engineering trade-offs, implementation issues, and operations of SQLite.
Do you want to get started with creating your own vehicles, maps, landscapes, and tools that you can use in the game and share with the Farming Simulator community? Then this is the resource for you! With the help of Jason van Gumster, you'll get up and running on everything you need to master 3D modeling and simulation—and have fun while doing it! Inside, you'll find out how to create and edit maps, start using the material panel, customize your mods by adding texture, use the correct file-naming conventions, test your mod in single and multiplayer modes, get a grip on using Vehicle XML, and so much more.
There's no denying that Farming Simulator players love modding—and now there's a trusted, friendly resource to help you take your modding skills to the next level and get even more out of your game. Written in plain English and packed with tons of step-by-step explanations, Farming Simulator Modding For Dummies is a great way to learn the ropes of 3D modeling with the tools available to you in the game. In no time, you'll be wowing your fellow gamesters—and yourself—with custom, kick-butt mods. So what are you waiting for?Includes an easy-to-follow introduction to using the GIANTS 3D modeling tools Explains how to export models to Blender, Maya, 3DS Max, or FBX Provides tips for using the correct image format for textures Details how to use Photoshop and Audacity to create custom mods for Farming Simulator
Whether you're one of the legions of rabid fans of the popular Farming Simulator game or just someone who wants to learn the basics of 3D modeling and animation, you'll find everything you need in this handy guide.
The Art of Game Design, Second Edition gives readers useful perspectives on how to make better game designs faster. It provides practical instruction on creating world-class games that will be played again and again.
In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.
This book takes you step-by-step through many fun and educational possibilities. Take advantage of several preloaded programming languages. Use the Raspberry Pi with Arduino. Create Internet-connected projects. Play with multimedia. With Raspberry Pi, you can do all of this and more.Get acquainted with hardware features on the Pi’s board Learn enough Linux to move around the operating system Pick up the basics of Python and Scratch—and start programming Draw graphics, play sounds, and handle mouse events with the Pygame framework Use the Pi’s input and output pins to do some hardware hacking Discover how Arduino and the Raspberry Pi complement each other Integrate USB webcams and other peripherals into your projects Create your own Pi-based web server with Python
Written by the founders of Processing, this book takes you through the learning process one step at a time to help you grasp core programming concepts. You'll learn how to sketch with code -- creating a program with one a line of code, observing the result, and then adding to it. Join the thousands of hobbyists, students, and professionals who have discovered this free and educational community platform.Quickly learn programming basics, from variables to objects Understand the fundamentals of computer graphics Get acquainted with the Processing software development environment Create interactive graphics with easy-to-follow projects Use the Arduino open source prototyping platform to control your Processing graphics
Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research.Develop a naïve Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a “whom to follow” recommendation system from Twitter data
From the Trade Paperback edition.
* Removing blemishes and distractions
* Creating amazing, natural-looking portraits
* Changing the color of clothing and hair
* Changing the shape of bodies and objects
* Using layers, adjustment layers, and masks
* Replacing skies and backgrounds
* Straightening lines and buildings
* Compositing multiple images together
* Changing facial expressions and poses
* Creating complex selections and masks
* Creating panoramas
* Creating actions to automate tasks
* Choosing the best image formats
* Customizing and configuring Photoshop CC
Tony & Chelsea go beyond teaching you how to use Photoshop; they teach you why and when to use each feature to create stunning, natural images. When Photoshop isn’t the best tool, they suggest other alternatives.
Combining the benefits of video training and book learning, this video book gives you over 10 hours of video and dozens of images to practice with. If you learn better with video, watch the video training and refer to the book for quick reference. For best results, walk through each procedure in the book using the provided sample images. Then, watch the videos to learn more advanced and artistic techniques. If you still have questions, or want peer review, join our Photoshop group on Facebook and get feedback from other Photoshop users.
Tony and Chelsea cover every aspect of Photoshop in-depth, but structure their teaching so that both beginner and advanced photographers can learn as efficiently as possible. If you just want a quick start, you can watch the first video or read the first chapter and you'll know the basics of photo editing in less than an hour. If you want to know more about a specific feature, switch to that video or jump to that chapter in the ebook. If you want to know everything about Photoshop, watch the videos and read the book from start to finish.
Updated for the latest versions of this popular database, this edition covers many complex features that have been added to MySQL 5.0 and 5.1, including a section dedicated to stored procedures and triggers. After a brief introduction on installation and initial setup, the book explains: How to configure MySQL, such as setting the root passwordMySQL data types, including numerics, strings, dates, and complex typesSQL syntax, commands, data types, operators, and functionsArithmetic, comparison and logical operatorsAggregate and general functionsStored procedures and triggers, including procedure definition, procedure calls, procedure management, cursors, and triggersYou don't have time to stop and thumb through an exhaustive reference when you're hard at work. This portable and affordable guide is small enough to fit into your pocket, and gives you a convenient reference that you can consult anywhere. When you reach a sticking point and need to get to a solution quickly, the MySQL Pocket Reference is the book you want to have.
Our purpose in writing this book is to help educate and train a new generation of marketing managers. We aim to train marketing engineers to translate concepts into context-specific operational decisions and actions using analytical, quantitative, and computer modeling techniques. We link theory to practice and practice to theory.
A Note from the Author:
Dear Marketing Engineering Revised Edition 2 User:
The several editions of Marketing Engineering that we have published since 1998 have been aimed at a fairly narrow, somewhat technical audience interested in bringing more scientific rigor to the marketing discipline. Versions of that book were adopted by more than 150 business schools on five continents. In 2007 we published Principles of Marketing Engineering to reach a broader, less technical audience. A key complement of that book, in response to user feedback, was Marketing Engineering for Excel (ME>XL), i.e., our Marketing Engineering software as an Excel Add-in. The response to that effort has been extremely positive and we have abandoned the original Marketing Engineering software platform, the one that produced the software complement to previous editions of this book.
Hence, as the note on the cover indicates, software is not included with the book. More importantly, when we reference software in the book, those references refer to a version of the software that is no longer available.
"I am very excited about this book. Finally marketing can exhibit its scientific muscle and move from opinions-based decision making to data-based decision making. I think this is a very important book that will spawn a new discipline within marketing."
Philip Kotler, Northwestern University
When Cathy Davidson and Duke University gave free iPods to the freshman class in 2003, critics said they were wasting their money. Yet when students in practically every discipline invented academic uses for their music players, suddenly the idea could be seen in a new light-as an innovative way to turn learning on its head.
This radical experiment is at the heart of Davidson's inspiring new book. Using cutting-edge research on the brain, she shows how "attention blindness" has produced one of our society's greatest challenges: while we've all acknowledged the great changes of the digital age, most of us still toil in schools and workplaces designed for the last century. Davidson introduces us to visionaries whose groundbreaking ideas-from schools with curriculums built around video games to companies that train workers using virtual environments-will open the doors to new ways of working and learning. A lively hybrid of Thomas Friedman and Norman Doidge, Now You See It is a refreshingly optimistic argument for a bold embrace of our connected, collaborative future.
With this book, you learn the latest and most productive tools in the Android tools ecosystem, and the best practices for Android app development. You will be able to take away the labs' code as templates or frameworks to re-use and customize for your own similar apps.
Android Studio is an intuitive, feature-rich, and extremely forgiving Integrated Development Environment (IDE). This IDE is more productive and easier to use for your Android app creations than Eclipse. With this book you will quickly master Android Studio and maximize your Android development time. Source code on the remote web-hosting service is targeted to the latest Android Studio release, version 1.2.
Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop.Get started quickly with an R tutorial and hundreds of examplesExplore R syntax, objects, and other language detailsFind thousands of user-contributed R packages online, including BioconductorLearn how to use R to prepare data for analysisVisualize your data with R’s graphics, lattice, and ggplot2 packagesUse R to calculate statistical fests, fit models, and compute probability distributionsSpeed up intensive computations by writing parallel R programs for HadoopGet a complete desktop reference to R
Missing Manuals creator David Pogue is one of the most widely recognized technology authors in the world. A former New York Times technology columnist, he founded and now produces videos for Yahoo Tech.