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https://doi.org/10.1007/978-1-...
Part of book or chapter of book . 2011 . Peer-reviewed
License: Springer Nature TDM
Data sources: Crossref
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Evaluation and Discussion
Authors: Peter Kiefer;
Evaluation and Discussion
Abstract
Long-ranging space-intention dependencies arise as a frequent problem in mobile intention recognition (see section 2.3.4). Approaches to mobile intention recognition which are not capable to formally represent these dependencies will suffer from ambiguity or inexplicability. Chapter 4 has introduced two new representational formalisms, SCCFGs and SCTAGs, and claimed that these are able to represent long-ranging space-intention dependencies typically occurring in mobile intention recognition. This chapter evaluates the formal expressiveness and disambiguation capabilities of SCCFGs and SCTAGs by parsing exemplary behavior sequences.
Related Organizations
- ETH Zurich Switzerland
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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
0
Average
Average
Average