We analyze critically the use of classi cation accuracy to compare classi ers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learnin...
We have recently presented CarpeDiem, an algorithm that can be used for speeding up the evaluation of Supervised Sequential Learning (SSL) classifiers. CarpeDiem provides impress...
I have been designing and building applications, including the databases used by those applications, for several decades now. I have seen similar problems approached by different d...
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
What is systems biology? What can biologists gain from an attempt to algebraize the questions in systems biology? Starting with plausible biological theses, can one algebraically m...