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Modification of posterior probability variable with frequency factor according to Bayes Theorem

Probability theory is a branch of science that statistically analyzes random events. Thanks to this branch of science, machine learning techniques are used inferences for the prediction or recommendation system. One of the statistical methods at the forefront of these techniques is Bayesian theory. Bayes is a simple mathematical formula used to calculate conditional probabilities and obtain the best estimates. The two most important parts of the formula are the concepts of a priori probability and posterior/conditional probability. In a priori probability, the most rational assessment of the p ...Daha fazlası

Criminal prediction using Naive Bayes theory

The paper introduces a solution to the criminal prediction problem using Na < ve Bayes theory. The criminal prediction problem is stated as finding the most likely criminal of a particular crime incident when the history of crime incidents is given with the incident-level crime data. The incident-level crime data are assumed to be given as a crime dataset where the incident date and location, crime type, criminal ID and the acquaintances are the attributes or crime parameters considered in the paper. The acquaintances are the suspects whose names are either directly involved in the incident or ...Daha fazlası