Results 1 to 10 of about 40,117 (117)
A probabilistic and context-dependent cell culture modelling framework for regulatory toxicology [PDF]
Frontiers in ToxicologyThe persistent gap between preclinical findings and clinical outcomes highlights the limitations of current in vitro models in regulatory toxicology. While New Approach Methodologies (NAMs) promise mechanistic insight, reduced reliance on animal testing,
Eneko Madorran
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Frontiers in Energy Research, 2021 This work presents an optimized probabilistic modeling methodology that facilitates the modeling of photovoltaic (PV) modules with measured data over a range of environmental conditions.
Jianmin Ban +3 more
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clusterBMA: Bayesian model averaging for clustering
PLoS ONE, 2023 Various methods have been developed to combine inference across multiple sets of results for unsupervised clustering, within the ensemble clustering literature.
Owen Forbes +9 more
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Frontiers in Immunology, 2023 BackgroundSelective cancer cell recognition is the most challenging objective in the targeted delivery of anti-cancer agents. Extruded specific cancer cell membrane coated nanoparticles, exploiting the potential of homotypic binding along with certain ...
Saif Khan +10 more
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IEEE Access, 2020 This paper proposes a modified relevance vector machine with slow feature analysis fault classification for industrial processes. Traditional support vector machine classification does not work well when there are insufficient training samples.
Jian Huang +3 more
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Passage relevance models for genomics search [PDF]
BMC Bioinformatics, 2009 We present a passage relevance model for integrating syntactic and semantic evidence of biomedical concepts and topics using a probabilistic graphical model. Component models of topics, concepts, terms, and document are represented as potential functions
Frieder Ophir +2 more
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Salton and Buckley’s Landmark Research in Experimental Text Information Retrieval
Evidence Based Library and Information Practice, 2011 Objectives – To compare the performance of the vector space model and the probabilistic weighting model of relevance feedback for the overall purpose of determining the most useful relevance feedback procedures.
Christine F. Marton
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Hardware Design for Autonomous Bayesian Networks
Frontiers in Computational Neuroscience, 2021 Directed acyclic graphs or Bayesian networks that are popular in many AI-related sectors for probabilistic inference and causal reasoning can be mapped to probabilistic circuits built out of probabilistic bits (p-bits), analogous to binary stochastic ...
Rafatul Faria +3 more
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PubMed related articles: a probabilistic topic-based model for content similarity
BMC Bioinformatics, 2007 Background We present a probabilistic topic-based model for content similarity called pmra that underlies the related article search feature in PubMed.
Lin Jimmy, Wilbur W John
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Using anomaly detection method to detect network attacks
Вісник Харківського національного університету імені В.Н. Каразіна. Серія: Математичне моделювання, інформаційні технології, автоматизовані системи управління, 2023 The article is focused on the description of a model for detecting network intrusions in the network traffic based on the TCP/IP protocol stack. The main objects of a local area network have been analyzed.
Світлана Деменкова +3 more
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