Jet identification based on probability calculations using Bayes’ theorem

Composite Service Recommendation Based on Bayes Theorem

Automated Essay Scoring Using Bayes' Theorem

Two Bayesian models for text classification from the information science field were extended and applied to student produced essays. Both models were calibrated using 462 essays with two score points. The calibrated systems were applied to 80 new, pre-scored essays with 40 essays in each score group. Manipulated variables included the two models; the use of words, phrases and arguments; two app...

Diagnostic Reasoning: Approach to Clinical Diagnosis Based on Bayes’ Theorem

Doctors caring for patients in their everyday clinical practice are faced with decisions that are sometimes routine and simple, but may be complicated on other occasions. Sometimes, the decisions may be regarding the choice of investigation or intervention, on other occasions, the decisions may have to be taken regarding a therapeutic option. Either way, clinical decision making is challenging ...

Probability , Conditional Probability and Bayes Formula

The intuition of chance and probability develops at very early ages.1 However, a formal, precise definition of the probability is elusive. If the experiment can be repeated potentially infinitely many times, then the probability of an event can be defined through relative frequencies. For instance, if we rolled a die repeatedly, we could construct a frequency distribution table showing how many...

The Rough Set View on Bayes' Theorem

MOTTO: " It is a capital mistake to theorise before one has data " Sherlock Holms In: A Scandal in Bohemia Abstract. Rough set theory offers new perspective on Bayes' theorem. The look on Bayes' theorem offered by rough set theory reveals that any data set (decision table) satisfies total probability theorem and Bayes' theorem. These properties can be used directly to draw conclusions from obje...