A variational bayesian style classification for typographic persian text using gabor features

Hajimomeni, Mona; Amindavar, Hamidreza; Faez, Karim

doi:10.1109/icsipa.2009.5478609

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2011

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“…Bayesian inference nets have emerged as one of the most successful intelligent tools for various applications such as document classification [5], bioinformatics [3], information retrieval [20], etc. Especially, it has established a long history in medicine [1, 6, 12-14, 16, 17] by focusing to develop clinical decision support systems (CDSS) for physicians.…”

Section: Introductionmentioning

confidence: 99%

Generalized Bayesian Inference Nets Model and Diagnosis of Cardiovascular Diseases

Sekar

Dong

Dou

2011

Journal of Intelligent Systems

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A generalized Bayesian inference nets model (GBINM) is proposed to aid researchers to construct Bayesian inference nets for various applications. The benefit of such a model is well demonstrated by applying GBINM in constructing a hierarchical Bayesian fuzzy inference nets (HBFIN) to diagnose five important types of cardiovascular diseases (CVD). The patients' medical records with doctors' confirmed diagnostic results obtained from two hospitals in China are used to design and verify HBFIN. Bayesian theorem is used to calculate the propagation of probability and address the uncertainties involved in each sequential stage of inference nets to deduce the disease(s). The validity and effectiveness of proposed approach is witnessed clearly from testing results obtained.

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Section: Introductionmentioning

confidence: 99%