Results 41 to 50 of about 439,127 (183)
Probabilistic Graphical Models [PDF]
, 2014 This report presents probabilistic graphical models that are based on imprecise probabilities using a simplified language. In particular the discussion is focused on credal networks and discrete domains. It describes the building blocks of credal networks algorithms to perform inference and discusses on complexity results and related work.
Antonucci, Alessandro +2 more
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A note on evolutionary stochastic portfolio optimization and probabilistic constraints [PDF]
, 2010 In this note, we extend an evolutionary stochastic portfolio optimization framework to include probabilistic constraints. Both the stochastic programming-based modeling environment as well as the evolutionary optimization environment are ideally suited ...
Hochreiter, Ronald
core
IEEE Access, 2019 A novel statistical method, referred to as the maximum entropy (MaxEnt) method is proposed in this paper for effective probabilistic modeling of crosstalk in multi-conductor transmission lines (MTLs).
Le Gao +6 more
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Probabilistic Logic Models for the Lightning Network
Cryptography, 2022 The Lightning Network (LN) has emerged as one of the prominent solutions to overcome the biggest limit of blockchain based on PoW: scalability. LN allows for creating a layer on top of an existing blockchain where users can send payments and micro ...
Damiano Azzolini, Fabrizio Riguzzi
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Neural Ideal Point Estimation Network
, 2018 Understanding politics is challenging because the politics take the influence from everything. Even we limit ourselves to the political context in the legislative processes; we need a better understanding of latent factors, such as legislators, bills ...
Lee, Wonsung +2 more
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Probabilistic Model‐Based Cell Tracking [PDF]
International Journal of Biomedical Imaging, 2006 The study of cell behavior is of crucial importance in drug and disease research. The fields of bioinformatics and biotechnology rely on the collection, processing, and analysis of huge numbers of biocellular images, including cell features such as cell size, shape, and motility.
Nezamoddin N. Kachouie +3 more
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Fine-scale Identification of the Most Likely Source of a Human Plague Infection
Emerging Infectious Diseases, 2009 We describe an analytic approach to provide fine-scale discrimination among multiple infection source hypotheses. This approach uses mutation-rate data for rapidly evolving multiple locus variable-number tandem repeat loci in probabilistic models to ...
Rebecca E. Colman +9 more
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Resilience-Oriented Restoration After Storm-Induced Failures Using Genetic Algorithm and Probabilistic Circuit Breaker Modeling [PDF]
Iranian Journal of Electrical and Electronic EngineeringThis paper presents an advanced methodology for post-storm power system restoration. A real-time Condition Index (CI)-based classification scheme is introduced to categorize circuit breakers into high-reliability (Type A) and moderate-reliability (Type B)
Mahdi Arabsadegh, aref doroudi
doaj
Qualitative Probabilistic Relational Models [PDF]
, 2018 Probabilistic relational models (PRMs) were introduced to extend the modelling and reasoning capacities of Bayesian networks from propositional to relational domains. PRMs are typically learned from relational data, by extracting from these data both a dependency structure and its numerical parameters.
van der Gaag, L.C., Leray, Ph.
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A Quantitative Literacy View of Natural Disasters and Nuclear Facilities
Numeracy, 2011 The March 11, 2011 earthquake, tsunami, and nuclear disaster in Tohoku, Japan, highlights the need to improve quantitative literacy (QL) in natural hazard assessment.
C. B. Connor
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