This research is focused towards the prediction of Free Libre Open Source (FLOSS) project failure and non failure. By using the characteristics of open source projects, referred to as determinants, we strive to create a classification model that predicts project failure and additionally, project non-failure. Examples of project characteristics are the number of developers, the number of downloa...

Adaptative training of the non-linear single-layer perceptron can lead to the Euclidean distance classifier and later to the standard Fisher linear discriminant function. On the way between these two classifiers one has a regularized discriminant analysis. That is equivalent to the “weight decay” regularization term added to the cost function. Thus early stopping plays a role of regularization ...

Background: Discriminant function analysis is the most popular statistical model in sex determination. This method is now becoming the choice for analysis the gender. Femor is important bone used for gender determination. The present study was conducted to determine the gender of individual using femoral head in study population. Materials & Methods: This study was conducted in the department o...