ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
The memory intensive nature of object-oriented languages such as C++ and Java has created the need of a high-performance dynamic memory management. Objectoriented applications oft...
Witawas Srisa-an, Chia-Tien Dan Lo, J. Morris Chan...
In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
In multistage cutting stock problems (CSP) the cutting process is distributed over several successive stages. Every stage except the last one produces intermediate products. The l...
In this paper we describe the architecture and implementation of a digital library framework for scientific data, particularly imagery, with a focus on support for content-based se...
Lawrence D. Bergman, Vittorio Castelli, Chung-Shen...