Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
This paper addresses the problem of tracking and diagnosing complex systems with mixtures of discrete and continuous variables. This problem is a difficult one, particularly when ...
Uri Lerner, Ronald Parr, Daphne Koller, Gautam Bis...
Different models of Decision Support Systems (DSS) are used in medicine to help physicians in disease diagnosis, prognosis evaluation and therapy prescription. The DSS models rely ...
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...
A rule-based Decision Support System is presented for the diagnosis of Coronary Artery Disease. The generation of the decision support system is realized automatically using a thr...
Markos G. Tsipouras, Themis P. Exarchos, Dimitrios...