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pro vyhledávání: '"Pietrasik, Marcin"'
In this paper, we investigate the use of probabilistic graphical models, specifically stochastic blockmodels, for the purpose of hierarchical entity clustering on knowledge graphs. These models, seldom used in the Semantic Web community, decompose a
Externí odkaz:
http://arxiv.org/abs/2408.15649
Large pretrained self-attention neural networks, or transformers, have been very successful in various tasks recently. The performance of a model on a given task depends on its ability to memorize and generalize the training data. Large transformer m
Externí odkaz:
http://arxiv.org/abs/2407.15425
Publikováno v:
In Digital Chemical Engineering September 2024 12
Autor:
Pietrasik, Marcin, Reformat, Marek
Knowledge graphs have emerged as a widely adopted medium for storing relational data, making methods for automatically reasoning with them highly desirable. In this paper, we present a novel approach for inducing a hierarchy of subject clusters, buil
Externí odkaz:
http://arxiv.org/abs/2109.13178
The Mixed-Membership Stochastic Blockmodel~(MMSB) is proposed as one of the state-of-the-art Bayesian relational methods suitable for learning the complex hidden structure underlying the network data. However, the current formulation of MMSB suffers
Externí odkaz:
http://arxiv.org/abs/2002.00901
Autor:
Singh, Abhineet, Pietrasik, Marcin, Natha, Gabriell, Ghouaiel, Nehla, Brizel, Ken, Ray, Nilanjan
Automatic detection of animals that have strayed into human inhabited areas has important security and road safety applications. This paper attempts to solve this problem using deep learning techniques from a variety of computer vision fields includi
Externí odkaz:
http://arxiv.org/abs/1910.11443
Akademický článek
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Autor:
Pietrasik, Marcin1 (AUTHOR) pietrasi@ualberta.ca, Reformat, Marek Z.1,2 (AUTHOR)
Publikováno v:
Axioms (2075-1680). Mar2023, Vol. 12 Issue 3, p275. 13p.
Akademický článek
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Autor:
Pietrasik, Marcin
Knowledge graphs are data storage structures that rely on principles from graph theory to represent information. Specifically, facts are stored as triples which bring together two entities via a predicate. In a graphical context, these entities are a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95adf25a8f8e089f6249ca7e41323b43