Boosting is a popular approach for building accurate classifiers. Despite the initial popular belief, boosting algorithms do exhibit overfitting and are sensitive to label noise. ...
With resemblance of finite-state machines to some biological mechanisms in cells and numerous applications of finite automata in different fields, this paper uses analogies an...
In the last few years there has been a great amount of interest in Random Constraint Satisfaction Problems, both from an experimental and a theoretical point of view. Quite intrigu...
Dimitris Achlioptas, Lefteris M. Kirousis, Evangel...
In this paper we present a new method of combining multiple precedence constraints for a single task to support software systems having client-server relationships. In these types...
Kenneth G. Ricks, David Jeff Jackson, B. Earl Well...
Case-based reasoning (CBR) has a great deal to o er in supporting creative design, particularly processes that rely heavily on previous design experience, such as framing the prob...