Online feature selection and classification with incomplete data
نویسندگان
چکیده
منابع مشابه
Bagging and Feature Selection for Classification with Incomplete Data
Missing values are an unavoidable issue of many real-world datasets. Dealing with missing values is an essential requirement in classification problem, because inadequate treatment with missing values often leads to large classification errors. Some classifiers can directly work with incomplete data, but they often result in big classification errors and generate complex models. Feature selecti...
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ژورنال
عنوان ژورنال: TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
سال: 2014
ISSN: 1300-0632,1303-6203
DOI: 10.3906/elk-1301-181