SURVEY ON SEMI SUPERVISED CLASSIFICATION METHODS AND FEATURE SELECTION
نویسندگان
چکیده
منابع مشابه
Forward Semi-supervised Feature Selection
Traditionally, feature selection methods work directly on labeled examples. However, the availability of labeled examples cannot be taken for granted for many real world applications, such as medical diagnosis, forensic science, fraud detection, etc, where labeled examples are hard to find. This practical problem calls the need for “semi-supervised feature selection” to choose the optimal set o...
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ژورنال
عنوان ژورنال: International Journal of Research in Engineering and Technology
سال: 2013
ISSN: 2321-7308,2319-1163
DOI: 10.15623/ijret.2013.0212097