Coalgebra learning via duality
- Submitting institution
-
University of Strathclyde
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 91285364
- Type
- E - Conference contribution
- DOI
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10.1007/978-3-030-17127-8_4
- Title of conference / published proceedings
- International Conference on Foundations of Software Science and Computation Structures [FoSSaCS 2019]
- First page
- 62
- Volume
- 11425
- Issue
- -
- ISSN
- 0302-9743
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper led to a new collaboration with a leading automata learning group at UCL. The collaboration has resulted in a new line of joint research, evidenced by a follow-up paper on learning and by a submitted joint grant proposal. Furthermore the framework outlined in the paper led to invitations to speak at the international workshop CMCS 2018 (April 2018) and at research seminars at the University of Amsterdam (February 2019) and the University of Birmingham (Dec 2018).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -