3.1.1 Fast CU Size Decision Based on
Bayesian TheoryIn this paper, we propose a decision surface of every two X-ray pulsars' recognition based on the
Bayesian theory firstly and derive the recognition performance.
It discusses this analysis using two-dimensional semantics and the
Bayesian theory.
The Rev Thomas Bayes devised the "
Bayesian theory" that helps take some of the guesswork out of betting.
The section 'Judgement and Decision-Making' highlights the disagreements among the contributors on whether the proper framework for human cognition should be
Bayesian theory, heuristics, or naive statistics, and it considers the assessment of the normative implications of these alternatives.
Clark includes a description of
Bayesian theory for comparison and contrast and a number of exercises readers can use to uncover the nature of the models using both classic and new data sets.
Interestingly, Chapline [13] noted that neither
Bayesian theory nor Dempster-Shafer could offer insight on how to minimize overall energy usage in the network.
Essentially,
Bayesian theory tells us how to express and manipulate probabilities.
In addition, Neil says,
Bayesian theory lacks the predictability and scalability which internet users require.
Gower suggests that
Bayesian Theory may provide the correct answers to questions about how scientists' beliefs ought be fixed.
The Certain Factor (CF) approach (Shortliffe, 1976) has been successfully used in MYCIN, one of the earliest expert systems for medical diagnostics which is based on the
Bayesian theory. The CF is a number between -1 and +1.