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    Chapter and Conference Paper

    Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines

    The aim of this study is to develop the Bayesian LeastSquares Support Vector Machine (LS-SVM) classifiers for preoperative discrimination between benign and malignant ovarian tumors. We describe how to perform...

    Chuan Lu, Tony Van-Gestel, Johan A. K. Suykens in Artificial Intelligence in Medicine (2003)

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    Chapter and Conference Paper

    Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors

    We describe a methodology based on a dual Belief Network-Multilayer Perceptron representation to build Bayesian classifiers. This methodology combines efficiently the prior domain knowledge and statistical dat...

    Peter Antal, Geert Fannes, Bart De Moor in Artificial Intelligence in Medicine (2001)