• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 15 matches

• 2024
• 
  Weiran Shen, Pingzhong Tang, Song Zuo:
  AI-Driven Mechanism Design. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2024, ISBN 978-981-97-9285-6, pp. 1-130
• 2023
• 
  Qionghai Dai, Yue Gao:
  Hypergraph Computation. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2023, ISBN 978-981-99-0184-5, pp. 1-244
• 
  Xiaowei Huang, Gaojie Jin, Wenjie Ruan:
  Machine Learning Safety. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2023, ISBN 978-981-19-6813-6, pp. 3-263
• 
  Gerhard Paaß, Sven Giesselbach:
  Foundation Models for Natural Language Processing - Pre-trained Language Models Integrating Media. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2023, ISBN 978-3-031-23189-6, pp. 1-419
• 
  Xu Tan:
  Neural Text-to-Speech Synthesis. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2023, ISBN 978-981-99-0826-4, pp. 1-185
• 2022
• 
  Chuan Shi, Xiao Wang, Philip S. Yu:
  Heterogeneous Graph Representation Learning and Applications. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2022, ISBN 978-981-16-6165-5, pp. 1-318
• 2021
• 
  Fabio Cuzzolin:
  The Geometry of Uncertainty - The Geometry of Imprecise Probabilities. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2021, ISBN 978-3-030-63152-9, pp. 1-728
• 2019
• 
  Virginia Dignum:
  Responsible Artificial Intelligence - How to Develop and Use AI in a Responsible Way. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2019, ISBN 978-3-030-30370-9, pp. 1-120
• 2017
• 
  Paula Boddington:
  Towards a Code of Ethics for Artificial Intelligence. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2017, ISBN 978-3-319-60647-7, pp. 1-111
• 2016
• 
  Christian Blum, Günther R. Raidl:
  Hybrid Metaheuristics - Powerful Tools for Optimization. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2016, ISBN 978-3-319-30882-1, pp. 1-136
• 
  Audun Jøsang:
  Subjective Logic - A Formalism for Reasoning Under Uncertainty. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2016, ISBN 978-3-319-42335-7, pp. 1-326
• 
  David Bergman, André A. Ciré, Willem-Jan van Hoeve, John N. Hooker:
  Decision Diagrams for Optimization. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2016, ISBN 978-3-319-42847-5, pp. 1-234
• 
  Stefano Mariani:
  Coordination of Complex Sociotechnical Systems - Self-organisation of Knowledge in MoK. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2016, ISBN 978-3-319-47108-2, pp. 1-234
• 2015
• 
  Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
  Feature Selection for High-Dimensional Data. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2015, ISBN 978-3-319-21857-1, pp. 1-132
• 
  Justyna Petke:
  Bridging Constraint Satisfaction and Boolean Satisfiability. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2015, ISBN 978-3-319-21809-0, pp. 1-103