Avtor/Urednik		Kukar, Matjaž
Naslov		Machine learning in blood group determination of Danish Jersey cattle
Tip		članek
Vir		In: Lavrač N, editor. CADAM-95. Zbornik Računalniška analiza medicinskih podatkov; 1995 nov 27-28; Bled. Ljubljana: Inštitut Jožef Štefan,
Leto izdaje		1995
Obseg		str. 180-93
Jezik		eng
Abstrakt		In her report from 1992 Lene Kolind Rasmussen describes very good comprehensibility of using causal probabilistic network for blood group determination. The obtained networks almost perfectly reflect the expert's view on the problem. In the following paper we approach the problem with different machine learning algorithms and show that they can be compared with causal probabilistic networks in terms of performance and comprehensibility.
Deskriptorji		BLOOD GROUPS MODELS, STATISTICAL CATTLE ANIMALS, DOMESTIC ARTIFICIAL INTELLIGENCE BAYES THEOREM