This paper considers the use of the EM-algorithm, combined with mean field theory, for parameter estimation in Markov random field models from unlabelled data. Special attention ...
In order to build an intelligent system that allows human beings to cooperate with a computing machine to perform a given task it is important to account for the individual charact...
In recent years, Support Vector Machines (SVMs) were successfully applied to a wide range of applications. Their good performance is achieved by an implicit non-linear transformat...
David Martens, Bart Baesens, Tony Van Gestel, Jan ...
Errors in machine translations of English-Iraqi Arabic dialogues were analyzed at two different points in the systems development using HTER methods to identify errors and human a...
Sherri L. Condon, Dan Parvaz, John S. Aberdeen, Ch...
This paper presents an approach to domain modeling and knowledge acquisition that consists of a gradual and goal-driven improvement of an incomplete domain model provided by a hum...