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Deeply Semantic Ind...
Deeply Semantic Inductive Spatio-Temporal Learning
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- Suchan, Jakob (author)
- Human-Centred Cognitive Assistance, University of Bremen, Bremen, Germany
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- Bhatt, Mehul, 1980- (author)
- Human-Centred Cognitive Assistance, University of Bremen, Bremen, Germany,AASS
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- Schultz, Carl P. L. (author)
- DesignSpace Group, University of Münster, Münster, Germany
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(creator_code:org_t)
- CEUR-WS, 2016
- 2016
- English.
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In: Proceedings of the 26th International Conference on Inductive Logic Programming. - : CEUR-WS. ; , s. 73-80
- Related links:
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https://ceur-ws.org/...
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Abstract
Subject headings
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- We present an inductive spatio-temporal learning framework rooted ininductive logic programming. With an emphasis on visuo-spatial language, logic,and cognition, the framework supports learning with relational spatio-temporalfeatures identifiable in a range of domains involving the processing and interpre-tation of dynamic visuo-spatial imagery. We present a prototypical system, andan example application in the domain of computing for visual arts and computa-tional cognitive science.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Spatio-Temporal Learning; Dynamic Visuo-Spatial Imagery; Declar-ative Spatial Reasoning; Inductive Logic Programming; AI and Art
Publication and Content Type
- ref (subject category)
- kon (subject category)
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