Distributed Genetic Algorithm (DGA) is one of the most promising choices among the optimization methods. In this paper we describe DGAFrame, a flexible framework for evolutionary...
Abstract. This paper addresses the ongoing discussion on influencing factors of automatic essay scoring with latent semantic analysis (LSA). Throughout this paper, we contribute to...
Fridolin Wild, Christina Stahl, Gerald Stermsek, Y...
This paper empirically compares six background correction methods aimed at removing unspecific background noise of the overall signal level measured by a scanner across microarrays...
Inductive algorithms rely strongly on their representational biases, Constructive induction can mitigate representational inadequacies. This paper introduces the notion of a relat...
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...