Anomaly Detection over Noisy Data using Learned Probability Distributions

Given a gamma probability distribution g as the observed distribution, and the information available on moments of the random variable, the probability distribution @? is derived such that the @g^2-distance between @? and g is minimum. The explicit ...

Traditional anomaly detection methods aim to identify objects that deviate from most other objects by treating all features equally. In contrast, contextual anomaly detection methods aim to detect objects that deviate from other objects within a ...

An important problem which occurs in many different disciplines is that of determining a probability distribution which is a good representation of an observed data set. For example, in building a simulation model of a manufacturing process or of a ...