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ORCIDSynthesis Lectures on Artificial Intelligence and Machine Learning
2021
- Felipe Leno da Silva, Anna Helena Reali Costa
:
Transfer Learning for Multiagent Reinforcement Learning Systems. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2021, ISBN 978-3-031-00463-6, pp. 1-129 - Cheng Yang, Zhiyuan Liu, Cunchao Tu, Chuan Shi, Maosong Sun:
Network Embedding: Theories, Methods, and Applications. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2021, ISBN 978-3-031-00462-9, pp. 1-242 - Reuth Mirsky, Sarah Keren, Christopher W. Geib:
Introduction to Symbolic Plan and Goal Recognition. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2021, ISBN 978-3-031-00461-2, pp. 1-190
2020
- William L. Hamilton:
Graph Representation Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2020, ISBN 978-3-031-00460-5 - Zhiyuan Liu, Jie Zhou:
Introduction to Graph Neural Networks. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2020, ISBN 978-3-031-00459-9 - Michael R. Genesereth, Vinay K. Chaudhri:
Introduction to Logic Programming. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2020, ISBN 978-3-031-00458-2
2019
- Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, Tianjian Chen, Han Yu:
Federated Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00457-5 - Patrik Haslum, Nir Lipovetzky, Daniele Magazzeni, Christian Muise:
An Introduction to the Planning Domain Definition Language. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00456-8 - Rina Dechter:
Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms, Second Edition. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00455-1 - Lirong Xia:
Learning and Decision-Making from Rank Data. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00454-4
2018
- Zhiyuan Chen, Bing Liu:
Lifelong Machine Learning, Second Edition. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00453-7 - Yevgeniy Vorobeychik, Murat Kantarcioglu:
Adversarial Machine Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00452-0 - Reshef Meir:
Strategic Voting. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00451-3 - Ariel Rosenfeld, Sarit Kraus:
Predicting Human Decision-Making: From Prediction to Action. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00023-2
2017
- Boi Faltings, Goran Radanovic:
Game Theory for Data Science: Eliciting Truthful Information. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2017, ISBN 978-3-031-00449-0 - Diederik M. Roijers, Shimon Whiteson:
Multi-Objective Decision Making. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2017, ISBN 978-3-031-00448-3
2016
- Zhiyuan Chen, Bing Liu:
Lifelong Machine Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2016, ISBN 978-3-031-01575-5 - Luc De Raedt, Kristian Kersting, Sriraam Natarajan, David Poole:
Statistical Relational Artificial Intelligence: Logic, Probability, and Computation. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2016, ISBN 978-3-031-00022-5 - Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar:
Representing and Reasoning with Qualitative Preferences: Tools and Applications. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2016, ISBN 978-3-031-00445-2
2015
- Aurélien Bellet, Amaury Habrard, Marc Sebban:
Metric Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2015, ISBN 978-3-031-00444-5
2014
- Amarnag Subramanya, Partha Pratim Talukdar:
Graph-Based Semi-Supervised Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2014, ISBN 978-3-031-00443-8 - Sonia Chernova, Andrea Lockerd Thomaz:
Robot Learning from Human Teachers. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2014, ISBN 978-3-031-00442-1 - Michael R. Genesereth, Michael Thielscher:
General Game Playing. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2014, ISBN 978-3-031-00441-4 - Davide Grossi, Gabriella Pigozzi:
Judgment Aggregation: A Primer. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2014, ISBN 978-3-031-00440-7 - Roman Barták, Robert A. Morris, Kristen Brent Venable:
An Introduction to Constraint-Based Temporal Reasoning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2014, ISBN 978-3-031-00439-1
2013
- Rina Dechter:
Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2013, ISBN 978-3-031-01566-3 - Ana L. C. Bazzan, Franziska Klügl:
Introduction to Intelligent Systems in Traffic and Transportation. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2013, ISBN 978-3-031-00437-7 - Hector Geffner, Blai Bonet:
A Concise Introduction to Models and Methods for Automated Planning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2013, ISBN 9781608459698, pp. 1-141 - Henry Hexmoor:
Essential Principles for Autonomous Robotics. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2013, ISBN 9781627050586, pp. 1-155 - Beatriz López:
Case-Based Reasoning: A Concise Introduction. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2013, ISBN 9781627050074, pp. 1-103
2012
- Martin Gebser, Roland Kaminski, Benjamin Kaufmann, Torsten Schaub:
Answer Set Solving in Practice. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2012, ISBN 978-3-031-00433-9 - Mausam, Andrey Kolobov:
Planning with Markov Decision Processes: An AI Perspective. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2012, ISBN 978-3-031-00431-5 - Burr Settles:
Active Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2012, ISBN 978-3-031-00432-2
2011
- Georgios Chalkiadakis, Edith Elkind, Michael J. Wooldridge:
Computational Aspects of Cooperative Game Theory. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2011, ISBN 978-3-031-00430-8 - Derek Hoiem, Silvio Savarese:
Representations and Techniques for 3D Object Recognition and Scene Interpretation. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2011, ISBN 978-3-031-00429-2 - Francesca Rossi, Kristen Brent Venable, Toby Walsh:
A Short Introduction to Preferences: Between Artificial Intelligence and Social Choice. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2011, ISBN 978-3-031-00428-5 - Edith Law, Luis von Ahn:
Human Computation. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2011, ISBN 978-3-031-00427-8 - Michael P. Wellman:
Trading Agents. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2011, ISBN 978-3-031-00426-1 - Kristen Grauman, Bastian Leibe:
Visual Object Recognition. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2011, ISBN 978-3-031-00425-4 - Colin Campbell, Yiming Ying:
Learning with Support Vector Machines. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2011, ISBN 978-3-031-00424-7
2010
- Csaba Szepesvári:
Algorithms for Reinforcement Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2010, ISBN 978-3-031-00423-0 - Michael R. Genesereth:
Data Integration: The Relational Logic Approach. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2010, ISBN 978-3-031-00422-3
2009
- Pedro M. Domingos, Daniel Lowd:
Markov Logic: An Interface Layer for Artificial Intelligence. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2009, ISBN 978-3-031-00421-6 - Xiaojin Zhu, Andrew B. Goldberg:
Introduction to Semi-Supervised Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2009, ISBN 978-3-031-00420-9
2008
- Michael Thielscher:
Action Programming Languages. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2008, ISBN 978-3-031-00419-3 - Sridhar Mahadevan:
Representation Discovery using Harmonic Analysis. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2008, ISBN 978-3-031-00418-6 - Kevin Leyton-Brown, Yoav Shoham:
Essentials of Game Theory: A Concise Multidisciplinary Introduction. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2008, ISBN 978-3-031-00417-9
2007
- Nikos Vlassis:
A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2009, ISBN 978-3-031-00415-5 - Peter Stone:
Intelligent Autonomous Robotics: A Robot Soccer Case Study. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2007, ISBN 978-3-031-00416-2
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