Results 51 to 60 of about 171 (134)

PhyBaSE: A Bayesian structural equation model approach to causal inference in phylogenetic comparative analyses

open access: yesMethods in Ecology and Evolution, Volume 16, Issue 6, Page 1136-1148, June 2025.
Abstract One of the main limitations of phylogenetic comparative analyses is that associations between traits can only be interpreted as correlations. Here, we present a novel Bayesian structural equation model (PhyBaSE) which allows us to disentangle direct from indirect relationships among variables to propose potential causal hypotheses while ...
Achaz von Hardenberg   +1 more
wiley   +1 more source

Sequential testing of complementary hypotheses about population density

open access: yesMethods in Ecology and Evolution, Volume 16, Issue 6, Page 1228-1238, June 2025.
Abstract Making inferences about population density is paramount in ecology and pest management for decision‐makers who often seek to determine how a population compares to a pre‐established static or dynamic threshold through sampling or monitoring. Sequential data analysis is appealing for monitoring and decision making as it is more cost‐efficient ...
Diego F. Rincon   +2 more
wiley   +1 more source

Redes bayesianas para predecir el estilo de aprendizaje de estudiantes en entornos virtuales

open access: yesAtoZ: Novas Práticas em Informação e Conhecimento, 2015
Introduction: It describes the use of Bayesian Networks to implement a model of uncertainty to predict the learning style of students through their interaction in a virtual learning environment based on the Felder-Silverman model.
Lissette Geoconda López-Faican   +1 more
doaj   +1 more source

Cognitive ecology of surprise in predator–prey interactions

open access: yesFunctional Ecology, Volume 39, Issue 3, Page 664-680, March 2025.
Read the free Plain Language Summary for this article on the Journal blog. Abstract In this review, we relate theoretical work on the importance of surprise in cognition to empirical research relevant to surprise in predator–prey interactions. There have been multiple proposals as to how surprise should be defined and quantified in the context of ...
Olivier Penacchio   +6 more
wiley   +1 more source

Red bayesiana para determinar la presencia de Rotavirus según estacionalidad, variabilidad climática y cambio climático

open access: yesSerie Científica de la Universidad de las Ciencias Informáticas
El objetivo del estudio fue determinar la relación entre la presencia de rotavirus y factores como la estacionalidad, la variabilidad climática y el cambio climático mediante el uso de redes bayesianas. Para ello, se recopiló información histórica sobre
Marisoly Chirino Beltrán   +3 more
doaj   +4 more sources

Redes bayesianas para la sostenibilidad marítimo portuaria [PDF]

open access: yes, 2018
La Tesis persigue abordar la sostenibilidad marítimo portuaria a través de la perspectiva de inteligencia artificial usando redes bayesianas. La consecución del objetivo se alcanza mediante los objetivos parciales que se enumeran a continuación: • Definir las variables para el caso de la sostenibilidad del sistema portuario • Establecer patrones y ...
openaire   +2 more sources

INTELIGÊNCIA ARTIFICIAL APLICADA NA ENGENHARIA DE SOFTWARE

open access: yesRevista Brasileira de Contabilidade e Gestão, 2013
Este artigo aborda a aplicação de técnicas de inteligência artificial no ambiente da engenharia de software. Apresenta informações conceituais breves sobre computação inteligente e sobre as técnicas utilizadas nos trabalhos pesquisados, focando na ...
Eduardo Stahnke, Adilson Vahldick
doaj   +4 more sources

Auditoria na Banca Utilizando Redes Bayesianas.

open access: yes, 2008
Análise de Dados e Sistemas de Apoio à ...
openaire   +2 more sources

Bayesian nets and medical diagnosis. A different way to learn conditional probabilities

open access: yesModelling in Science Education and Learning, 2019
Bayesian networks are a formal tool that allows to model processes characterized by uncertainty, which is typical of many real problems. A Bayesian network can establish a comprehensive model on a set of random variables and their relationships.
Vicente Domingo Estruch Fuster   +3 more
doaj   +1 more source

Síntesis de explicaciones en redes Bayesianas

open access: yes, 2023
Durante los últimos años hemos estado viviendo una explosión en la utilización y popularización de las tecnologías basadas en Inteligencia Artificial. A día de hoy el termino IA se ha convertido en sinónimo de avance tecnológico, novedad y progreso. A pesar de esto, mucho de los sistemas que actualmente dominan el mercado de la IA son tecnologías de ...
openaire   +1 more source

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