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pro vyhledávání: '"A. Deratani"'
Circuits based on sum-product structure have become a ubiquitous representation to compactly encode knowledge, from Boolean functions to probability distributions. By imposing constraints on the structure of such circuits, certain inference queries b
Externí odkaz:
http://arxiv.org/abs/2412.05481
Publikováno v:
Membranes, Vol 13, Iss 2, p 229 (2023)
A new family of environmentally friendly and low-cost membranes based on readily available mineral and polymeric materials has been developed from cast suspensions of kaolin and chitosan using aqueous phase separation and polyethylene glycol as a por
Externí odkaz:
https://doaj.org/article/415524bbfdac42f0b88863d5a0ff0689
Autor:
Rocha, Victor Hugo Nascimento, Silveira, Igor Cataneo, Pirozelli, Paulo, Mauá, Denis Deratani, Cozman, Fabio Gagliardi
Publikováno v:
Progress in Artificial Intelligence (EPIA 2023)
The recent success of Large Language Models (LLMs) has sparked concerns about their potential to spread misinformation. As a result, there is a pressing need for tools to identify ``fake arguments'' generated by such models. To create these tools, ex
Externí odkaz:
http://arxiv.org/abs/2406.15130
Autor:
Geh, Renato Lui, Gonçalves, Jonas, Silveira, Igor Cataneo, Mauá, Denis Deratani, Cozman, Fabio Gagliardi
We present dPASP, a novel declarative probabilistic logic programming framework for differentiable neuro-symbolic reasoning. The framework allows for the specification of discrete probabilistic models with neural predicates, logic constraints and int
Externí odkaz:
http://arxiv.org/abs/2308.02944
Publikováno v:
Computational Processing of the Portuguese Language 2022
Deep learning transformers have drastically improved systems that automatically answer questions in natural language. However, different questions demand different answering techniques; here we propose, build and validate an architecture that integra
Externí odkaz:
http://arxiv.org/abs/2202.04048
Autor:
Mattei, Lilith, Antonucci, Alessandro, Mauá, Denis Deratani, Facchini, Alessandro, Llerena, Julissa Villanueva
Probabilistic sentential decision diagrams are logic circuits where the inputs of disjunctive gates are annotated by probability values. They allow for a compact representation of joint probability mass functions defined over sets of Boolean variable
Externí odkaz:
http://arxiv.org/abs/2008.08524
Akademický článek
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Autor:
Nguyen, Linh Duy, Kammoun, Mohamed Ayman, Bui, Minh Quang, Sistat, Philippe, Deratani, André, Zaviska, François
Publikováno v:
In Journal of Cleaner Production 10 September 2022 365
We examine the meaning and the complexity of probabilistic logic programs that consist of a set of rules and a set of independent probabilistic facts (that is, programs based on Sato's distribution semantics). We focus on two semantics, respectively
Externí odkaz:
http://arxiv.org/abs/1701.09000
Autor:
Melo Moreira, Daniel A., Valdivia Delgado, Karina, Nunes de Barros, Leliane, Deratani Mauá, Denis
Publikováno v:
In International Journal of Approximate Reasoning December 2021 139:143-165