publication . Other literature type . Preprint . Article . 2019

Semi-supervised online structure learning for composite event recognition

Evangelos Michelioudakis; Alexander Artikis; Georgios Paliouras;
Open Access English
  • Published: 16 Jan 2019
  • Publisher: Zenodo
Abstract
Online structure learning approaches, such as those stemming from Statistical Relational Learning, enable the discovery of complex relations in noisy data streams. However, these methods assume the existence of fully-labelled training data, which is unrealistic for most real-world applications. We present a novel approach for completing the supervision of a semi-supervised structure learning task. We incorporate graph-cut minimisation, a technique that derives labels for unlabelled data, based on their distance to their labelled counterparts. In order to adapt graph-cut minimisation to first order logic, we employ a suitable structural distance for measuring the...
Subjects
free text keywords: Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Statistics - Machine Learning, Software, Artificial Intelligence, Machine learning, computer.software_genre, computer, Minimisation (psychology), Semi-supervised learning, Statistical relational learning, business.industry, business, Event calculus, Composite event, Mathematics, Activity recognition, First-order logic, Hoeffding's inequality
Funded by
EC| datACRON
Project
datACRON
Big Data Analytics for Time Critical Mobility Forecasting
  • Funder: European Commission (EC)
  • Project Code: 687591
  • Funding stream: H2020 | RIA
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Other literature type . 2019
Provider: Datacite
ZENODO
Article . 2019
Provider: ZENODO
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publication . Other literature type . Preprint . Article . 2019

Semi-supervised online structure learning for composite event recognition

Evangelos Michelioudakis; Alexander Artikis; Georgios Paliouras;