In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
Stemming algorithms find canonical forms for inflected words, e. g. for declined nouns or conjugated verbs. Since such a unification of words with respect to gender, number, time, ...
The Esprit project PRODNET II1 (Production Planning and Management in an Extended Enterprise) had as its main objective the development of a reference architecture and a support in...
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Synchronizing di erent data streams from multiple sources simultaneously at a receiver is one of the basic problems involved in multimedia distributed systems. This requirement st...
Narayanan Shivakumar, Cormac J. Sreenan, B. Narend...