Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
: This contribution discusses the application of Petri nets for modeling workflow in healthcare based on a normative language approach. After a brief inon, a framework of different...
There is much empirical evidence about the success of naive Bayesian classification (NBC) in medical applications of attribute-based machine learning. NBC assumes conditional inde...
Aleks Jakulin, Ivan Bratko, Dragica Smrke, Janez D...
In recent years, while search engines have become more and more powerful, several specialized search engines have been developed for different domains (e.g. library services, serv...
In this paper, we compare several approaches for the extraction of modulation frequency features from speech signal using a phoneme recognition system. The general framework in th...