Author/Editor		Kukar, Matjaž
Title		Machine learning in blood group determination of Danish Jersey cattle
Type		članek
Source		In: Lavrač N, editor. CADAM-95. Zbornik Računalniška analiza medicinskih podatkov; 1995 nov 27-28; Bled. Ljubljana: Inštitut Jožef Štefan,
Publication year		1995
Volume		str. 180-93
Language		eng
Abstract		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.
Descriptors		BLOOD GROUPS MODELS, STATISTICAL CATTLE ANIMALS, DOMESTIC ARTIFICIAL INTELLIGENCE BAYES THEOREM