Normalized Gaussian Networks with Mixed Feature Data
Contribuinte(s) |
S. Zhang R. Jarvis |
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Data(s) |
01/01/2005
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Resumo |
With mixed feature data, problems are induced in modeling the gating network of normalized Gaussian (NG) networks as the assumption of multivariate Gaussian becomes invalid. In this paper, we propose an independence model to handle mixed feature data within the framework of NG networks. The method is illustrated using a real example of breast cancer data. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Springer-Verlag |
Palavras-Chave | #Computer Science, Artificial Intelligence #Em Algorithm #Expression Data #C1 #230204 Applied Statistics #780101 Mathematical sciences |
Tipo |
Conference Paper |