We introduce in this paper a generalization of the widely used hidden Markov models (HMM's), which we name "structural hidden Markov models" (SHMM). Our approach is ...
— This paper studies a variant of the classical problem of “writing on dirty paper” in which the sum of the input and the interference, or dirt, is multiplied by a random var...
Wenyi Zhang, Shivaprasad Kotagiri, J. Nicholas Lan...
This paper proposes a stochastic fluid flow model to compute the transfer time distribution of resources in peer-to-peer file sharing applications. The amount of bytes transferred...
Rossano Gaeta, Marco Gribaudo, Daniele Manini, Mat...
Early detection of process disturbances and prediction of malfunctions in process equipment improve the safety of the process, minimize the time and resources needed for maintenan...
Tiina Komulainen, Mauri Sourander, Sirkka-Liisa J&...
—This paper concerns an efficient algorithm for learning in the limit a special type of regular languages called strictly locally testable languages from positive data, and its a...