Listar por tema "bayesian networks"
Mostrando ítems 1-5 de 5
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A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2014)Bayesian networks are regarded as one of the essential tools to analyze causal relationship between events from data. To learn the structure of highly-reliable Bayesian networks from data as quickly as possible is one of ... -
Analysis of the port sustainability parameters through Bayesian networks
(Environmental and Sustainability Indicators, 2020)European Commission principles included in its European 2020 Strategy (COM:2010) are essential to establish intelligent, sustainable and inclusive transport networks that enhance the social development and territorial ... -
Análisis de las dimensiones institucional, económica, social y ambiental portuarias a través de inteligencia artificial
(Revista de Transporte y Territorio, 2018)Los puertos son impulsores, pero a la vez están inmersos en los procesos de globalización de las sociedades. Es por ello que no son ajenos a la potencialidad de las metodologías de minería de datos, las cuales intentan ... -
Computer-aided diagnosis of pancreatic and lung cancer
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2008)When we talk about cancer diagnosis the most important thing is early diagnosis to prevent cancer cells from spreading. We may also consider the high cost of diagnostic tests. Our approach seeks to address both problems. ... -
Seaport sustainable: use of artificial intelligence to evaluate liquid natural gas utilization in short sea shipping
(Transportation Journal, 2019)In the present research, a methodology is developed to determine the relationship between the variables that define the use of liquefied natural gas in short sea shipping in Europe, through the use of data-mining techniques. ...