Introduction to Graph Neural Networks. Zhiyuan Liu
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Introduction toGraph Neural Networks
Synthesis Lectures on Artificial Intelligence and Machine Learning
Editors
Ronald Brachman, Jacobs Technion-Cornell Institute at Cornell Tech
Francesca Rossi, IBM Research AI
Peter Stone, University of Texas at Austin
Introduction to Graph Neural Networks
Zhiyuan Liu and Jie Zhou
2020
Introduction to Logic Programming
Michael Genesereth and Vinay Chaudhri
2020
Federated Learning
Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, and Tianjian Chen
2019
An Introduction to the Planning Domain Definition Language
Patrik Haslum, Nir Lipovetzky, Daniele Magazzeni, and Christina Muise
2019
Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms, Second Edition
Rina Dechter
2019
Learning and Decision-Making from Rank Data
Liron Xia
2019
Lifelong Machine Learning, Second Edition
Zhiyuan Chen and Bing Liu
2018
Adversarial Machine Learning
Yevgeniy Vorobeychik and Murat Kantarcioglu
2018
Strategic Voting
Reshef Meir
2018
Predicting Human Decision-Making: From Prediction to Action
Ariel Rosenfeld and Sarit Kraus
2018
Game Theory for Data Science: Eliciting Truthful Information
Boi Faltings and Goran Radanovic
2017
Multi-Objective Decision Making
Diederik M. Roijers and Shimon Whiteson
2017
Lifelong Machine Learning
Zhiyuan Chen and Bing Liu
2016
Statistical Relational Artificial Intelligence: Logic, Probability, and Computation
Luc De Raedt, Kristian Kersting, Sriraam Natarajan, and David Poole
2016
Representing and Reasoning with Qualitative Preferences: Tools and Applications
Ganesh Ram Santhanam, Samik Basu, and Vasant Honavar
2016
Metric Learning
Aurélien Bellet, Amaury Habrard, and Marc Sebban
2015
Graph-Based Semi-Supervised Learning
Amarnag Subramanya and Partha Pratim Talukdar
2014
Robot Learning from Human Teachers
Sonia Chernova and Andrea L. Thomaz
2014
General Game Playing
Michael Genesereth and Michael Thielscher
2014
Judgment Aggregation: A Primer
Davide Grossi and Gabriella Pigozzi
2014
An Introduction to Constraint-Based Temporal Reasoning
Roman Barták, Robert A. Morris, and K. Brent Venable
2014
Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms
Rina Dechter
2013
Introduction to Intelligent Systems in Traffic and Transportation
Ana L.C. Bazzan and Franziska Klügl
2013
A Concise Introduction to Models and Methods for Automated Planning
Hector Geffner and Blai Bonet
2013
Essential Principles for Autonomous Robotics
Henry Hexmoor
2013
Case-Based Reasoning: A Concise Introduction
Beatriz López
2013
Answer Set Solving in Practice
Martin Gebser, Roland Kaminski, Benjamin Kaufmann, and Torsten Schaub
2012
Planning with Markov Decision Processes: An AI Perspective
Mausam and Andrey Kolobov
2012
Active Learning
Burr Settles
2012
Computational Aspects of Cooperative Game Theory
Georgios Chalkiadakis, Edith Elkind, and Michael Wooldridge
2011
Representations and Techniques for 3D Object Recognition and Scene Interpretation
Derek Hoiem and Silvio Savarese
2011
A Short Introduction to Preferences: Between Artificial Intelligence and Social Choice
Francesca Rossi, Kristen Brent Venable, and Toby Walsh
2011
Human Computation
Edith Law and Luis von Ahn
2011
Trading Agents
Michael P. Wellman
2011
Visual Object Recognition
Kristen Grauman and Bastian Leibe
2011
Learning with Support Vector Machines
Colin Campbell and Yiming Ying
2011
Algorithms for Reinforcement Learning
Csaba Szepesvári
2010
Data Integration: The Relational Logic Approach
Michael Genesereth
2010
Markov Logic: An Interface Layer for Artificial Intelligence
Pedro Domingos and Daniel Lowd
2009
Introduction to Semi-Supervised Learning
Xiaojin Zhu and Andrew B.Goldberg
2009
Action Programming Languages
Michael Thielscher
2008