Learning Bayesian Networks From Timed Data
Marc Le GocAhmad Ahdab
Broschiertes Buch

Learning Bayesian Networks From Timed Data

An application of the Timed Observations Theory

Versandkostenfrei!
Versandfertig in 6-10 Tagen
32,99 €
inkl. MwSt.
PAYBACK Punkte
16 °P sammeln!
Learning a Bayesian Network from timed data without prior knowledge to the dynamic process that generated the data is the main subject of this document. The proposed algorithm, called Tom4BN, is based on an adequate representation of a set of sequences of timed observations and uses the BJ-Measure, an information based measure adapted to timed data to evaluates the quantity of information flowing along an edge. This algorithm and this measure have been designed in the framework of the TOM4L process (Timed Observation Mining for Learning process, Tom4L) that is based on Le Goc's Theory of the T...