A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...
Abstract: Monitoring the ratio of two normal random variables (RZ) is one of the most important directions in Statistical Process Control (SPC). To enhance the sensitivity of traditional RZ charts in ...
Abstract: This paper investigates different ways of generating random numbers to initialize the parameters of Extreme Learning Machine (ELM) model. For this purpose, uniform and normal distribution of ...
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There is a lot of commotion and excitement at FC Barcelona in regards to the years to come. That is because, despite their financial mess, the Catalan club continues to produce and develop some of the ...
... and suppose that the parameters are referenced inside a NIC resource that uses the copyIndex() function to grab the value of each parameter, like so: { "name ...
ABSTRACT: Gene Set Analysis (GSA) is a framework for testing the association of a set of genes and the outcome, e.g. disease status or treatment group. The method replies on computing a maxmean ...
The following is a summary of “Compensated Hypospermatogenesis: Elevated Follicle-stimulating Hormone Predicts Decline in Semen Parameters Among Men With Normal Index Semen Analysis,” published in the ...
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