A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
The success of a genetic programming system in solving a problem is often a function of the available computational resources. For many problems, the larger the population size an...
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
We present an overview of the program transformation techniques which have been proposed over the past twenty-five years in the context of logic programming. We consider the appro...
Alberto Pettorossi, Maurizio Proietti, Valerio Sen...
In this paper, we propose a new approach for gated bus synthesis [16] with minimum wire capacitance per transaction in three-dimensional (3D) ICs. The 3D IC technology connects di...
Chung-Kuan Cheng, Peng Du, Andrew B. Kahng, Shih-H...