Contribution of Probabilistic Grammar Inference with k-Testable Language for Knowledge Modeling - Application on Aging People

Catherine Combes, Jean Azéma

2013

Abstract

We investigate the contribution of unsupervised learning and regular grammatical inference to respectively identify profiles of elderly people and their development over time in order to evaluate care needs (human, financial and physical resources). The proposed approach is based on k-Testable Languages in the Strict Sense Inference algorithm in order to infer a probabilistic automaton from which a Markovian model which has a discrete (finite or countable) state-space has been deduced. In simulating the corresponding Markov chain model, it is possible to obtain information on population ageing. We have verified if our observed system conforms to a unique long term state vector, called the stationary distribution and the steady-state.

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Paper Citation


in Harvard Style

Combes C. and Azéma J. (2013). Contribution of Probabilistic Grammar Inference with k-Testable Language for Knowledge Modeling - Application on Aging People . In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: LAFLang, (ICAART 2013) ISBN 978-989-8565-38-9, pages 451-460. DOI: 10.5220/0004356804510460

in Bibtex Style

@conference{laflang13,
author={Catherine Combes and Jean Azéma},
title={Contribution of Probabilistic Grammar Inference with k-Testable Language for Knowledge Modeling - Application on Aging People},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: LAFLang, (ICAART 2013)},
year={2013},
pages={451-460},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004356804510460},
isbn={978-989-8565-38-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: LAFLang, (ICAART 2013)
TI - Contribution of Probabilistic Grammar Inference with k-Testable Language for Knowledge Modeling - Application on Aging People
SN - 978-989-8565-38-9
AU - Combes C.
AU - Azéma J.
PY - 2013
SP - 451
EP - 460
DO - 10.5220/0004356804510460