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Synthesis Lectures on Artificial Intelligence and Machine Learning

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    Representing and Reasoning with Qualitative Preferences

    Ganesh Ram Santhanam

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    Metric Learning

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    Introduction to Intelligent Systems in Traffic and Transportation

    Ana L.C. Bazzan

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    Graph-Based Semi-Supervised Learning

    Amarnag Subramanya

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    Robot Learning from Human Teachers

    Sonia Chernova

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    Judgment Aggregation

    Gabriella Pigozzi

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    Essential Principles for Autonomous Robotics

    Henry Hexmoor

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    Case-Based Reasoning

    Beatriz López

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    Answer Set Solving in Practice

    Martin Gebser

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    A Concise Introduction to Models and Methods for Automated Planning

    Blai Bonet

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    Active Learning

    Burr Settles

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    Planning with Markov Decision Processes

    Mausam

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    Computational Aspects of Cooperative Game Theory

    Michael Wooldridge

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    Visual Object Recognition

    Kristen Gauman

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    Learning with Support Vector Machines

    Колин Кэмпбелл

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    Algorithms for Reinforcement Learning

    Csaba Szepesvari

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    Data Integration

    Michael Genesereth

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    Representation Discovery using Harmonic Analysis

    Sridhar Mahadevan

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    Introduction to Semi-Supervised Learning

    Xiaojin Zhu

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    Action Programming Languages

    Michael Thielscher

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