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Publication search results
found 51 matches
- 2021
- 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 - 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 - 2020
- 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 - 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 - 2019
- 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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
- 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 - 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 - 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 - 2013
- 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 - 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 - 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
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