In the proposed algorithm, we model the CTU partition process as a multi-class classification problem and solve it using

Bayesian theory. Fig.

According to

Bayesian theory, the point estimations of the posterior distribution of the two parameters are 7021.3 and 1.1640.

The

Bayesian theory has proven to be efficient to solve fractional inverse problems (see [12, 13]).

Bayesian method uses the prior knowledge and can realize the accurate computation, and it is more and more used in the research of gene locus mining, for example, using

Bayesian theory to mine the disease associated loci [17], identifying pig nipple number related genes [18], detecting gene loci associated with breast cancer [19], and detecting the interaction between specific phenotypic traits loci (Zhang et al.

Based on the

Bayesian theory, the probability of the error recognition is [18]

In the

Bayesian theory, we know that posterior probability [varies] likelihood x prior probability.

Hawboldt, "Dynamic risk assessment using failure assessment and

Bayesian theory," Journal of Loss Prevention in the Process Industries, vol.

In this book,

Bayesian theory is discussed from chapter 6 to chapter 9.

This classification algorithm predicts the possibility of a class relation pattern when the prior probability and conditional probability are known, which is based on

Bayesian theory of probability statistics.

The discussion of the use of the

Bayesian theory continues well into the final section that centers on more existential problems: climate change, terrorism, and the bubbles in financial markets.

Tsokos,

Bayesian Theory and Methods, Springer, 2014.

A modest knowledge of probability and statistics is required, they say, in particular readers should know the basic concepts of maximum likelihood estimation and

Bayesian theory.