Abstract
Machine learning explanation can significantly boost machine learning's application in decision making, but the usability of current methods is limited in human-centric explanation, especially for transfer learning, an important machine learning branch that aims at utilizing knowledge from one learning domain (i.e., a pair of dataset and prediction task) to enhance prediction model training in another learning domain. In this paper, we propose an ontology-based approach for human-centric explanation of transfer learning. Three kinds of knowledge-based explanatory evidence, with different granularities, including general factors, particular narrators and core contexts are first proposed and then inferred with both local ontologies and external knowledge bases.The evaluation with US flight data and DBpedia has presented their confidence and availability in explaining the transferability of feature representation in flight departure delay forecasting.
Original language | English |
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Title of host publication | Principles of Knowledge Representation and Reasoning |
Subtitle of host publication | Proceedings of the Sixteenth International Conference (KR2018) |
Editors | Michael Thielscher, Francesca Toni, Frank Wolter |
Publisher | AAAI Press |
Pages | 349-358 |
Number of pages | 10 |
ISBN (Print) | 978-1-57735-803-9 |
Publication status | Published - 24 Sept 2018 |
Event | 16th International Conference on Principles of Knowledge Representation and Reasoning - Tempe, United States Duration: 27 Oct 2020 → 2 Nov 2020 http://reasoning.eas.asu.edu/kr2018/ |
Publication series
Name | |
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Publisher | AAAI Press |
ISSN (Print) | 2334-1025 |
ISSN (Electronic) | 2334-1033 |
Conference
Conference | 16th International Conference on Principles of Knowledge Representation and Reasoning |
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Abbreviated title | KR 2018 |
Country/Territory | United States |
City | Tempe |
Period | 27/10/20 → 2/11/20 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- Ontology
- Transfer Learning
- Description Logic
- Explanative AI
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Jeff Pan
- School of Informatics - Personal Chair of Knowledge Computing
- Institute of Language, Cognition and Computation
- Language, Interaction, and Robotics
Person: Academic: Research Active