Abstract. The paper focuses on the efficiency of the hybrid evolutionary algorithm (HEA) for solving the global optimization problem arising in electronic imaging. The particular v...
This paper proposes a method for Bayesian networks that handles uncertainty and discretization of continuous variables when learning the networks from a database of cases. The dat...
Abstract. One of issues in the bootstrapping for named entity recognition is how to control annotation errors introduced at every iteration. In this paper, we present several heuri...
Abstract. This paper presents the Job Shop Scheduling Problem (JSSP) represented as the well known Satisfiabilty Problem (SAT). Even though the representation of JSSP in SAT is not...
A new methodology for designing logic circuits with partial error masking is described. The key idea is to exploit the asymmetric soft error susceptibility of nodes in a logic cir...