Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
This paper explores the computational capacity of a novel local computational model that expands the conventional analogical and logical dynamic neural models, based on the charge ...
While code understanding is the primary program comprehension activity, it is quite challenging to recognize the application requirements from code, since they have usually been o...
Mohammad El-Ramly, Eleni Stroulia, Paul G. Sorenso...
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
Despite the advantages that object technology can provide to the software development community and its customers, the fundamental problems associated with identifying objects, th...