This paper describes a new framework for using natural selection to evolve Bayesian Networks for use in forecasting time series data. It extends current research by introducing a ...
This paper addresses the problem of selecting the `optimal' variable subset in a logistic regression model for a medium-sized data set. As a case study, we take the British En...
Text categorization, as an essential component of applications for user navigation on the World Wide Web using QuestionAnswering in Japanese, requires more effective features for ...
In this paper, the problem of sizing MOS Current Mode Logic (MCML) circuits is addressed. The Pareto front is introduced as a useful analysis tool to explore the design space of e...
Roberto Pereira-Arroyo, Pablo Alvarado-Moya, Wolfg...
This paper addresses a low-cost and real-time solution for the implementation of super-resolution (SR) algorithms over SOC (System-On-Chip) platforms in order to achieve high-qual...