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Amazon Fire TV For Dummies

Paul McFedries

Amazon Fire TV For Dummies

Enjoy more entertainment with this friendly user guide to making the most of Amazon Fire TV! Find and watch more of the shows you enjoy with Amazon Fire TV For Dummies. This book guides you through Fire TV connections and setup and then shows you how to get the most out of your device. This guide is the convenient way to access quick viewing tips, so there’s no need to search online for information or feel frustrated. With this book by your side, you’ll quickly feel right at home with your...

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Paul McFedries

Essential Principles for Autonomous...

Henry Hexmoor

Essential Principles for Autonomous Robotics

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Henry Hexmoor

Graph-Based Semi-Supervised Learnin...

Amarnag Subramanya

Graph-Based Semi-Supervised Learning

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Amarnag Subramanya

Robot Learning from Human Teachers

Sonia Chernova

Robot Learning from Human Teachers

Learning from Demonstration (LfD) explores techniques for learning a task policy from examples provided by a human teacher. The field of LfD has grown into an extensive body of literature over the past 30 years, with a wide variety of approaches for encoding human demonstrations and modeling skills and tasks. Additionally, we have recently seen a focus on gathering data from non-expert human teachers (i.e., domain experts but not robotics experts). In this book, we provide an introduction to the...

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Sonia Chernova

Answer Set Solving in Practice

Martin Gebser

Answer Set Solving in Practice

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Martin Gebser

Introduction to Noise-Resilient Com...

Svetlana N. Yanushkevich

Introduction to Noise-Resilient Computing

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Svetlana N. Yanushkevich

Active Learning

Burr Settles

Active Learning

The key idea behind active learning is that a machine learning algorithm can perform better with less training if it is allowed to choose the data from which it learns. An active learner may pose «queries,» usually in the form of unlabeled data instances to be labeled by an «oracle» (e.g., a human annotator) that already understands the nature of the problem. This sort of approach is well-motivated in many modern machine learning and data mining applications, where unlabeled data may be abundant...

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Burr Settles

Judgment Aggregation

Gabriella Pigozzi

Judgment Aggregation

Judgment aggregation is a mathematical theory of collective decision-making. It concerns the methods whereby individual opinions about logically interconnected issues of interest can, or cannot, be aggregated into one collective stance. Aggregation problems have traditionally been of interest for disciplines like economics and the political sciences, as well as philosophy, where judgment aggregation itself originates from, but have recently captured the attention of disciplines like computer...

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Gabriella Pigozzi

A Concise Introduction to Models an...

Blai Bonet

A Concise Introduction to Models and Methods for Automated Planning

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Blai Bonet

Analyzing Analytics

Rajesh Bordawekar

Analyzing Analytics

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Rajesh Bordawekar

Databases on Modern Hardware

Anastasia Ailamaki

Databases on Modern Hardware

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Anastasia Ailamaki

Bad to the Bone

Steven Barrett

Bad to the Bone

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Steven Barrett

Metric Learning

Aurelien Bellet

Metric Learning

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Aurelien Bellet

Statistical Relational Artificial I...

Luc De Raedt

Statistical Relational Artificial Intelligence

An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining...

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Luc De Raedt

Representing and Reasoning with Qua...

Ganesh Ram Santhanam

Representing and Reasoning with Qualitative Preferences

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Ganesh Ram Santhanam

Principles of Secure Processor Arch...

Jakub Szefer

Principles of Secure Processor Architecture Design

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Jakub Szefer

General Game Playing

Michael Thielscher

General Game Playing

General game players are computer systems able to play strategy games based solely on formal game descriptions supplied at «runtime» (n other words, they don't know the rules until the game starts). Unlike specialized game players, such as Deep Blue, general game players cannot rely on algorithms designed in advance for specific games; they must discover such algorithms themselves. General game playing expertise depends on intelligence on the part of the game player and not just...

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Michael Thielscher

Arduino Microcontroller Processing...

Steven F. Barrett

Arduino Microcontroller Processing for Everyone!

This book is about the Arduino microcontroller and the Arduino concept. The visionary Arduino team of Massimo Banzi, David Cuartielles, Tom Igoe, Gianluca Martino, and David Mellis launched a new innovation in microcontroller hardware in 2005, the concept of open source hardware. Their approach was to openly share details of microcontroller-based hardware design platforms to stimulate the sharing of ideas and promote innovation. This concept has been popular in the software world for many years....

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Steven F. Barrett

An Introduction to Constraint-Based...

Roman Barták

An Introduction to Constraint-Based Temporal Reasoning

Solving challenging computational problems involving time has been a critical component in the development of artificial intelligence systems almost since the inception of the field. This book provides a concise introduction to the core computational elements of temporal reasoning for use in AI systems for planning and scheduling, as well as systems that extract temporal information from data. It presents a survey of temporal frameworks based on constraints, both qualitative and quantitative, as...

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Roman Barták

Load Balance For Distributed Real-t...

Aoying Zhou

Load Balance For Distributed Real-time Computing Systems

This illustrative compendium analyzes the load balancing problem in distributed stream processing systems and explores a set of high-performance real-time processing scheme based on key-based balancing strategy, join-matrix model and fault tolerance mechanisms.The volume succinctly provides the theoretical support for the proposed techniques. Through a rich set of experiments and comparisons with the other state-of-the-art techniques using both standard benchmarks and real data sets, the book...

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Aoying Zhou

Samsung Galaxy S9 For Dummies

Bill Hughes

Samsung Galaxy S9 For Dummies

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Bill Hughes

iPhone X For Dummies

Bob LeVitus

iPhone X For Dummies

Get the most out of your iPhone X Apple's iPhone X represents such a radical departure from all previous models of the globally known iPhone that it needs its own book to help users navigate the new features. Luckily, iPhone X For Dummies is here toprovide the guidance you need to figure out the features of your new iPhone and the software that powers it. Written by the experts who've created all previous editions of iPhone For Dummies, this book takes a deep dive into this fabulous new phone...

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Bob LeVitus

BlackBerry For Dummies

Robert Kao

BlackBerry For Dummies

Just what you need to know to take full advantage of your new BlackBerry smartphone The popular BlackBerry is used by millions of office workers and executives and has become an essential business tool. Now with an even faster and more efficient 6.0 operating system, the newest BlackBerry devices have the potential to become pocket-sized replacements for the laptop. This fifth edition of the most popular BlackBerry guide explores all the features of the new BlackBerry and its upgraded OS. It...

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Robert Kao

zOS JCL (Job Control Language)

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zOS JCL (Job Control Language)

Discusses new features provided by zOS, such as improved security, support for Intelligent Resource Director, and support for a 64-bit real storage. Explains how the system configuration in zOS is made easier by a new interface that uses wizards to input desired settings.

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