Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 105-109 |
| Number of pages | 5 |
| Journal | Computer Methods and Programs in Biomedicine |
| Volume | 45 |
| Issue number | 1-2 |
| DOIs | |
| Publication status | Published - 1994 |
| MoE publication type | A1 Journal article-refereed |
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KAVAS-2 : Knowledge acquisition, visualization and assessment system. / Talmon, Jan (Corresponding Author); Brender, Jytte; Demeester, Michel; Drosos, Panayotis; Grimson, Jane; Langsig, A.-M.; McNair, Peter; Nykänen, Pirkko; O'Moore, Rory; Rossi-Mori, A.; Weber, S.; Wilhelm, W.
In: Computer Methods and Programs in Biomedicine, Vol. 45, No. 1-2, 1994, p. 105-109.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - KAVAS-2
T2 - Knowledge acquisition, visualization and assessment system
AU - Talmon, Jan
AU - Brender, Jytte
AU - Demeester, Michel
AU - Drosos, Panayotis
AU - Grimson, Jane
AU - Langsig, A.-M.
AU - McNair, Peter
AU - Nykänen, Pirkko
AU - O'Moore, Rory
AU - Rossi-Mori, A.
AU - Weber, S.
AU - Wilhelm, W.
N1 - Project code: TTE2112
PY - 1994
Y1 - 1994
N2 - The objective of KAVAS-2 is the development of a tool, named KAVIAR, with which domain experts can make their knowledge explicit. It contains components for (computer assisted) knowledge elicitation and for machine learning. A key issue in KAVAS is the assessment of the quality of the classification and domain models built. Various quality measures are available and implemented in KAVIAR to assess the quality of models, specifically those developed from data bases by machine learning techniques.
AB - The objective of KAVAS-2 is the development of a tool, named KAVIAR, with which domain experts can make their knowledge explicit. It contains components for (computer assisted) knowledge elicitation and for machine learning. A key issue in KAVAS is the assessment of the quality of the classification and domain models built. Various quality measures are available and implemented in KAVIAR to assess the quality of models, specifically those developed from data bases by machine learning techniques.
U2 - 10.1016/0169-2607(94)90026-4
DO - 10.1016/0169-2607(94)90026-4
M3 - Article
VL - 45
SP - 105
EP - 109
JO - Computer Methods and Programs in Biomedicine
JF - Computer Methods and Programs in Biomedicine
SN - 0169-2607
IS - 1-2
ER -