- There are two types of models useful in the study of worm propagation for a given number of terminals in a trusted network i.e. deterministic and stochastic model. The determinis...
The problem of prediction future event given an individual sequence of past events is considered. Predictions are given in form of real numbers pn which are computed by some algori...
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
We study the random variable Yn representing the number of occurrences of a given symbol in a word of length n generated at random. The stochastic model we assume is a simple non-e...
Diego de Falco, Massimiliano Goldwurm, Violetta Lo...
We introduce a new algorithm based on linear programming that approximates the differential value function of an average-cost Markov decision process via a linear combination of p...