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31.186  Articles
1 of 3.120 pages  |  10  records  |  more records»
The matrices of non-homogeneous Markov processes consist of time-dependent functions whose values at time form typical intensity matrices. For solvingsome problems they must be changed into stochastic matrices. A stochas-tic matrix for non-homogeneous Mar... see more

The recommendation systems used to form a news feed in social networks or to create recommendation lists on content websites or Internet stores are often exposed to information profile injection attacks. These attacks are aimed at changing ratings, and th... see more

The article deals with the technology of construction of nonparametric processing methods of correlated random processes. The use of a Markov model of correlated signals allows to synthesize the nonparametric rank algorithms that use nonparametric estimat... see more

In this chapter we describe the abstract definiton and the basic facts on algebraic Markov processes (see [5]). The main goal is to show that the fundamental definitions and properties of Markov processes are easiy formulated in an algebraic languaje suit... see more

Distributed Denial of Service (DDoS), is a coordinated attack that is majorly carried out on a massive scale against the availability of services property of a target system or network resources. Due to the continuous evolution of new attacks and ever-inc... see more

Human voice depends on the position or shape of the cavity owned, so the character of the sound that each person is unique and became his identity. Identification of speakers (speaker recognition) is the process of identifying who is talking on the inform... see more

Virtually every biological model utilising a random number generator is a Markov stochastic process. Numerical simulations of such processes are performed using stochastic or intensity matrices or kernels. Biologists, however, define stochastic processes ... see more

Getting acquainted with the theory of stochastic processes we can read the following statement: "In the ordinary axiomatization of probability theory by means of measure theory, the problem is to construct a sigma-algebra of measurable subsets of the spac... see more

In this paper we introduce a new class of labelled transition systems- Labelled Markov Processes - and define bisimulation for them.Labelled Markov processes are probabilistic labelled transition systemswhere the state space is not necessarily discrete, i... see more

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