Browsing UT - Computer Science by Subject "background smoothing"
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Document Classification Using Background Smoothing
(2010)Naïve Bayes Classifier (NBC) is one of the methods for text or document classification. A common problem that often occurs on NBC method is data sparsity, especially when the size of training data is too small. One way to ... -
Document Classification Using Background Smoothing
(2010)Naïve Bayes Classifier (NBC) is one of the methods for text or document classification. A common problem that often occurs on NBC method is data sparsity, especially when the size of training data is too small. One way to ... -
Klasifikasi Dokumen Bahasa Indonesia Menggunakan Metode Semantic Smoothing
(2011)The first supervised learning method for document classification is Naive Bayes classifier. A common problem that often occurs on simple methods like Naive Bayes is data sparsity. This problem especially occurs when the ... -
Klasifikasi Dokumen Bahasa Indonesia Menggunakan Semantic Smoothing dengan Ekstraksi Ciri Chi-square
(2012)One of supervised learning methods for document classification is Naive Bayes classifier. A common problem that often occurs on simple method like naive bayes is data sparsity. This problem especially occurs when the size ...
