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A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks
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 ...
Time-series prediction with BEMCA approach: Application to short rainfall series
(Institute of Electrical and Electronics Engineers Inc., 2018)
This paper presents a new method to forecast short rainfall time-series. The new framework is by means of Bayesian enhanced modified combined approach (BEMCA) using permutation and relative entropy with Bayesian inference. ...
Bayesian network classifiers: Beyond classification accuracy
(IOS PRESS, 2011)
This work proposes and discusses an approach for inducing Bayesian classifiers aimed at balancing the tradeoff between the precise probability estimates produced by time consuming unrestricted Bayesian networks and the ...
Comparison of two types of event Bayesian networks: a case study
(Applied Artificial Intelligence, 2007)
Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers.
Bayesian networks are useful machine learning techniques that are able to combine quantitative modeling, through probability theory, with qualitative modeling, through graph theory for visualization. We apply Bayesian ...
Predictive model to reduce the dropout rate of university students in Perú: Bayesian Networks vs. Decision Trees
(IEEE Computer Society, 2020-06-01)
This research proposes a prediction model that might help reducing the dropout rate of university students in Peru. For this, a three-phase predictive analysis model was designed which was combined with the stages proposed ...
A Comparative Evaluation of Bayesian Networks Structure Learning Using Falcon Optimization Algorithm
Bayesian networks are analytical models that may represent probabilistic dependent connections among variables and are useful in machine learning for generating knowledge structure. Due to the vastness of the solution ...
A bayesian analysis for the parameters of the exponential-logarithmic distribution
(2013-07-01)
The exponential-logarithmic is a new lifetime distribution with decreasing failure rate and interesting applications in the biological and engineering sciences. Thus, a Bayesian analysis of the parameters would be desirable. ...