Centroid Classifier has been shown to be a simple and yet effective method for text categorization. However, it is often plagued with model misfit (or inductive bias) incurred by i...
We investigate the performance of different classification models and their ability to recognize prostate cancer in an early state. We build ensembles of classification models in ...
A number of natural models for learning in the limit is introduced to deal with the situation when a learner is required to provide a grammar covering the input even if only a par...
Modern development environments often involve models with complex consistency relations. Some of the relations can be automatically established through "fixing procedures&quo...
Predicting the defects in the next release of a large software system is a very valuable asset for the project manger to plan her resources. In this paper we argue that temporal f...
Abraham Bernstein, Jayalath Ekanayake, Martin Pinz...