A Concise Introduction to...

Synthesis Lectures on Artificial Intelligence and Machine Learning (Series)

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A Concise Introduction to...

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Nikos Vlassis Author
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A Short Introduction to...

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Francesca Rossi Author
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Action Programming Languages

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Michael Thielscher Author
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Adversarial Machine Learning

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Yevgeniy Vorobeychik Author
Murat Kantarcioglu Author
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Algorithms for Reinforcement...

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Csaba Szepesvári Author
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An Introduction to the...

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Patrik Haslum Author
Nir Lipovetzky Author
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Answer Set Solving in Practice

Synthesis Lectures on Artificial Intelligence and Machine Learning (Series)

Martin Gebser Author
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Case-Based Reasoning

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Beatriz López Author
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Computational Aspects of...

Synthesis Lectures on Artificial Intelligence and Machine Learning (Series)

Georgios Chalkiadakis Author
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Data Integration

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Michael Genesereth Author
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Essential Principles for...

Synthesis Lectures on Artificial Intelligence and Machine Learning (Series)

Henry Hexmoor Author
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Federated Learning

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Qiang Yang Author
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Game Theory for Data Science

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Boi Faltings Author
Goran Radanovic Author
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Graph Representation Learning

Synthesis Lectures on Artificial Intelligence and Machine Learning (Series)

William L. Hamilton Author
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Graph-Based Semi-Supervised...

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Amarnag Subramanya Author
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Human Computation

Synthesis Lectures on Artificial Intelligence and Machine Learning (Series)

Edith Law Author
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Intelligent Autonomous Robotics

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Peter Stone Author
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Introduction to Graph Neural...

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Zhiyuan Liu Author
Jie Zhou Author
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Introduction to Intelligent...

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Ana L.C. Bazzan Author
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Introduction to Logic...

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Introduction to...

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Xiaojin Zhu Author
Andrew. B Goldberg Author
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Introduction to Symbolic Plan...

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Reuth Mirsky Author
Sarah Keren Author
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Learning and Decision-Making...

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Lirong Xia Author
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Learning with Support Vector...

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Colin Campbell Author
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Lifelong Machine Learning

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Zhiyuan Chen Author
Bing Liu Author
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Metric Learning

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Aurélien Bellet Author
Amaury Habrard Author
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Multi-Objective Decision Making

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Diederik M. Roijers Author
Shimon Whiteson Author
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Network Embedding

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Cheng Yang Author
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Planning with Markov Decision...

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Andrey Kolobov Author
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Predicting Human Decision-Making

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Ariel Rosenfeld Author
Sarit Kraus Author
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Reasoning with Probabilistic...

Synthesis Lectures on Artificial Intelligence and Machine Learning (Series)

Rina Dechter Author
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Representation Discovery...

Synthesis Lectures on Artificial Intelligence and Machine Learning (Series)

Sridhar Mahadevan Author
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Representations and...

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Representing and Reasoning...

Synthesis Lectures on Artificial Intelligence and Machine Learning (Series)

Ganesh Ram Santhanam Author
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Statistical Relational...

Synthesis Lectures on Artificial Intelligence and Machine Learning (Series)

Luc De Raedt Author
Kristian Kersting Author
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Strategic Voting

Synthesis Lectures on Artificial Intelligence and Machine Learning (Series)

Reshef Meir Author
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Trading Agents

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Michael Wellman Author
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Transfer Learning for...

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Felipe Leno da Silva Author
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Visual Object Recognition

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Kristen Grauman Author
Bastian Leibe Author
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Explainable Human-AI Interaction

Synthesis Lectures on Artificial Intelligence and Machine Learning (Series)

Sarath Sreedharan Author
Anagha Kulkarni Author
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Active Learning

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Burr Settles Author
(2022)

Adversarial Machine Learning

Synthesis Lectures on Artificial Intelligence and Machine Learning (Series)

Yevgeniy Vorobeychik Author
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An Introduction to Constraint...

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Roman Barták Author
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Applying Reinforcement...

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Philip Osborne Author
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Federated Learning

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Qiang Yang Author
Yang Liu Author
(2022)

Game Theory for Data Science

Synthesis Lectures on Artificial Intelligence and Machine Learning (Series)

Boi Faltings Author
Goran Radanovic Author
(2022)

Graph Representation Learning

Synthesis Lectures on Artificial Intelligence and Machine Learning (Series)

William L. Hamilton Author
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