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Synthesis Lectures on Artificial Intelligence and Machine Learning

Скачать книги из серии Synthesis Lectures on Artificial Intelligence and Machine Learning



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    Fluid Mechanics Experiments
    Robabeh Jazaei

    Fluid Mechanics Experiments

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    Graph Representation Learning
    William L. Hamilton

    Graph Representation Learning

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    Introduction to Graph Neural Networks
    Zhiyuan Liu

    Introduction to Graph Neural Networks

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    Introduction to Graph Neural Networks
    Zhiyuan Liu

    Introduction to Graph Neural Networks

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    Lifelong Machine Learning
    Bing Liu

    Lifelong Machine Learning

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    Adversarial Machine Learning
    Yevgeniy Vorobeychik

    Adversarial Machine Learning

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    Predicting Human Decision-Making
    Sarit Kraus

    Predicting Human Decision-Making

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    Game Theory for Data Science
    Boi Faltings

    Game Theory for Data Science

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    General Game Playing
    Michael Thielscher

    General Game Playing

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    An Introduction to Constraint-Based Temporal Reasoning
    Roman Barták

    An Introduction to Constraint-Based Temporal Reasoning

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    Markov Logic
    Pedro Domingos

    Markov Logic

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    Essentials of Game Theory
    Kevin Leyton-Brown

    Essentials of Game Theory

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    Introduction to Logic Programming
    Michael Genesereth

    Introduction to Logic Programming

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    Federated Learning
    Yang Liu

    Federated Learning

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    An Introduction to the Planning Domain Definition Language
    Patrik Haslum

    An Introduction to the Planning Domain Definition Language

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    Reasoning with Probabilistic and Deterministic Graphical Models
    Rina Dechter

    Reasoning with Probabilistic and Deterministic Graphical Models

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    Learning and Decision-Making from Rank Data
    Lirong Xia

    Learning and Decision-Making from Rank Data

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    Strategic Voting
    Reshef Meir

    Strategic Voting

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    Multi-Objective Decision Making
    Diederik M. Roijers

    Multi-Objective Decision Making

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    Statistical Relational Artificial Intelligence
    Luc De Raedt

    Statistical Relational Artificial Intelligence

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    Representing and Reasoning with Qualitative Preferences
    Ganesh Ram Santhanam

    Representing and Reasoning with Qualitative Preferences

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    Metric Learning
    Aurelien Bellet

    Metric Learning

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    Introduction to Intelligent Systems in Traffic and Transportation
    Ana L.C. Bazzan

    Introduction to Intelligent Systems in Traffic and Transportation

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    Graph-Based Semi-Supervised Learning
    Amarnag Subramanya

    Graph-Based Semi-Supervised Learning

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    Robot Learning from Human Teachers
    Sonia Chernova

    Robot Learning from Human Teachers

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    Judgment Aggregation
    Gabriella Pigozzi

    Judgment Aggregation

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    Essential Principles for Autonomous Robotics
    Henry Hexmoor

    Essential Principles for Autonomous Robotics

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    Case-Based Reasoning
    Beatriz López

    Case-Based Reasoning

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    Answer Set Solving in Practice
    Martin Gebser

    Answer Set Solving in Practice

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    A Concise Introduction to Models and Methods for Automated Planning
    Blai Bonet

    A Concise Introduction to Models and Methods for Automated Planning

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