Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
The computation of selectional preferences, the admissible argument values for a relation, is a well-known NLP task with broad applicability. We present LDA-SP, which utilizes Lin...
In this work we show that value prediction can be used to avoid the penalty of long wire delays by predicting the data that is communicated through these long wires and validating...
Abstract. The collaborative creation of value is the central tenet of services science. In particular, then, the quality of a service encounter would depend on the mutual expectati...
In this work we present a novel approach to predict the function of proteins in protein-protein interaction (PPI) networks. We classify existing approaches into inductive and tran...