Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
In multicast communication, a source transmits the same content to a set of receivers. Current protocols for multicast follow a tree communication model which makes them scalable....
In the context of the analysis of measured data, one is often faced with the task to differentiate data numerically. Typically, this occurs when measured data are concerned or dat...
For modeling the interpretation process of NL sentences we use the mechanisms implying semantic networks that assure syntactic – semantic text interpretation (SSI), including an...