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OSLα: Online Structure Learning using background knowledge axiomatization

Michelioudakis Evangelos, Skarlatidis Anastasios, Paliouras, Georgios, Artikis, Alexander

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/90904717-E643-413F-9170-BDE1DA2DBBBD-
Αναγνωριστικόhttps://link.springer.com/chapter/10.1007%2F978-3-319-46128-1_15-
Αναγνωριστικόhttps://doi.org/10.1007/978-3-319-46128-1_15-
Γλώσσαen-
Μέγεθος16 pagesen
ΤίτλοςOSLα: Online Structure Learning using background knowledge axiomatizationel
ΔημιουργόςMichelioudakis Evangelosen
ΔημιουργόςΜιχελιουδακης Ευαγγελοςel
ΔημιουργόςSkarlatidis Anastasiosen
ΔημιουργόςPaliouras, Georgiosen
ΔημιουργόςArtikis, Alexanderen
ΕκδότηςSpringer Verlagen
ΠερίληψηWe present OSLα—an online structure learner for Markov Logic Networks (MLNs) that exploits background knowledge axiomatization in order to constrain the space of possible structures. Many domains of interest are characterized by uncertainty and complex relational structure. MLNs is a state-of-the-art Statistical Relational Learning framework that can naturally be applied to domains governed by these characteristics. Learning MLNs from data is challenging, as their relational structure increases the complexity of the learning process. In addition, due to the dynamic nature of many real-world applications, it is desirable to incrementally learn or revise the model’s structure and parameters. Experimental results are presented in activity recognition using a probabilistic variant of the Event Calculus (MLN−EC) as background knowledge and a benchmark dataset for video surveillance.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2018-11-13-
Ημερομηνία Δημοσίευσης2016-
Θεματική ΚατηγορίαEvent calculusen
Θεματική ΚατηγορίαMarkov logic networksen
Θεματική ΚατηγορίαUncertaintyen
Βιβλιογραφική ΑναφοράE. Michelioudakis, A. Skarlatidis, G. Paliouras and A. Artikis, "OSLα: Online Structure Learning using background knowledge axiomatization," in Joint European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016, pp. 232-247. doi: 10.1007/978-3-319-46128-1_15el

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