One of the main problems faced by university students is deciding the right learning path based on available information such as courses, schedules and professors. In this context,...
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
With the advent of the Web and the efforts towards a Semantic Web the nature of knowledge engineering has changed drastically. In this position paper we propose four principles fo...
This paper presents a specifically database-inspired approach (called DOGMA) for engineering formal ontologies, implemented as shared resources used to express agreed formal semant...
In the general classification context the recourse to the so-called Bayes decision rule requires to estimate the class conditional probability density functions. In this paper we p...