We empirically compare five different publicly-available phrase sets in two large-scale (N = 225 and N = 150) crowdsourced text entry experiments. We also investigate the impact ...
This paper introduces a novel method for obtaining increased predictive performance from transparent models in situations where production input vectors are available when building...
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
— In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of memetic algori...
Christian Spieth, Felix Streichert, Jochen Supper,...