Classification and Error Estimation for Discrete Data
نویسندگان
چکیده
منابع مشابه
Classification and Error Estimation for Discrete Data
Discrete classification is common in Genomic Signal Processing applications, in particular in classification of discretized gene expression data, and in discrete gene expression prediction and the inference of boolean genomic regulatory networks. Once a discrete classifier is obtained from sample data, its performance must be evaluated through its classification error. In practice, error estima...
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ژورنال
عنوان ژورنال: Current Genomics
سال: 2009
ISSN: 1389-2029
DOI: 10.2174/138920209789208228