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Synthesis Lectures on Artifici...An intelligent agent interacting with the real world will encounter individual... 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... more
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Synthesis Lectures on Artifici...Multiagent systems is an expanding field that blends classical fields like gam... Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject covering the... more
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Synthesis Lectures on Artifici...Most subfields of computer science have an interface layer via which applicati... Most subfields of computer science have an interface layer via which applications communicate with the infrastructure and this is key to their success (e.g. the Internet in networking the relational model in databases etc.). So far this interface layer... more
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Synthesis Lectures on Artifici...Artificial systems that think and behave intelligently are one of the most exc... Artificial systems that think and behave intelligently are one of the most exciting and challenging goals of Artificial Intelligence. Action Programming is the art and science of devising high-level control strategies for autonomous systems which... more
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Synthesis Lectures on Artifici...While labeled data is expensive to prepare ever increasing amounts of unlabele... While labeled data is expensive to prepare ever increasing amounts of unlabeled data is becoming widely available. In order to adapt to this phenomenon several semi-supervised learning (SSL) algorithms which learn from labeled as well as unlabeled data... more
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Synthesis Lectures on Artifici...Solving challenging computational problems involving time has been a critical ... 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... more
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Synthesis Lectures on Artifici...One of the grand challenges of artificial intelligence is to enable computers ... One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images with... more
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Synthesis Lectures on Artifici...Learning to solve sequential decision-making tasks is difficult. Humans take y... Learning to solve sequential decision-making tasks is difficult. Humans take years exploring the environment essentially in a random way until they are able to reason solve difficult tasks and collaborate with other humans towards a common goal.... more
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Synthesis Lectures on Artifici...Data integration is a critical problem in our increasingly interconnected but ... Data integration is a critical problem in our increasingly interconnected but inevitably heterogeneous world. There are numerous data sources available in organizational databases and on public information systems like the World Wide Web. Not... more
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Synthesis Lectures on Artifici...Machine learning and artificial intelligence (AI) are powerful tools that crea... Machine learning and artificial intelligence (AI) are powerful tools that create predictive models extract information and help make complex decisions. They do this by examining an enormous quantity of labeled training data to find patterns too complex... more
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Synthesis Lectures on Artifici...Computational social choice is an expanding field that merges classical topics... Computational social choice is an expanding field that merges classical topics like economics and voting theory with more modern topics like artificial intelligence multiagent systems and computational complexity. This book provides a concise... more
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Synthesis Lectures on Artifici...Representations are at the heart of artificial intelligence (AI). This book is... Representations are at the heart of artificial intelligence (AI). This book is devoted to the problem of representation discovery: how can an intelligent system construct representations from its experience? Representation discovery re-parameterizes... more
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Synthesis Lectures on Artifici...The visual recognition problem is central to computer vision research. From ro... The visual recognition problem is central to computer vision research. From robotics to information retrieval many desired applications demand the ability to identify and localize categories places and objects. This tutorial overviews computer vision... more
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Synthesis Lectures on Artifici...Learning from Demonstration (LfD) explores techniques for learning a task poli... 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... more
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Synthesis Lectures on Artifici...This book provides a tutorial introduction to modern techniques for representi... This book provides a tutorial introduction to modern techniques for representing and reasoning about qualitative preferences with respect to a set of alternatives. The syntax and semantics of several languages for representing preference languages... more
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Synthesis Lectures on Artifici...Semi-supervised learning is a learning paradigm concerned with the study of ho... Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans learn in the presence of both labeled and unlabeled data. Traditionally learning has been studied either in the unsupervised... more
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Synthesis Lectures on Artifici...Lifelong Machine Learning Second Edition is an introduction to an advanced mac... Lifelong Machine Learning Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast the current dominant... more
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Synthesis Lectures on Artifici...Graphs are useful data structures in complex real-life applications such as mo... Graphs are useful data structures in complex real-life applications such as modeling physical systems learning molecular fingerprints controlling traffic networks and recommending friends in social networks. However these tasks require dealing with... more
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Synthesis Lectures on Artifici...Markov Decision Processes (MDPs) are widely popular in Artificial Intelligence... Markov Decision Processes (MDPs) are widely popular in Artificial Intelligence for modeling sequential decision-making scenarios with probabilistic dynamics. They are the framework of choice when designing an intelligent agent that needs to act for... more
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Synthesis Lectures on Artifici...Case-based reasoning is a methodology with a long tradition in artificial inte... Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques to solve problems based on past experiences or cases. Given a problem to be solved reasoning involves... more
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