Abstract. Selective eta-expansion is a powerful "binding-time improvement", i.e., a sourceprogram modification that makes a partial evaluator yield better results. But li...
This research considers whether interpretive techniques can be used to enhance our understanding of computer-mediated discussions. The case study considered in this research is th...
An important task in machine learning is determining which learning algorithm works best for a given data set. When the amount of data is small the same data needs to be used repea...
We show how chemical background knowledge can be used to improve the prediction performance in structureactivitity relationships (SARs) for non-congeneric compounds. The goal of t...
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...