Sentence examples for the attributes are from inspiring English sources

The attributes are presented in Fig. 3.

The attributes are defined but are not hypothesized as existing.

Since the attributes are binary, we discretized the result vector.

(6) All the attributes are initialized in the init function.

In fact, not all the attributes are indispensable.

The definitions of the attributes are: (1) 48 continuous real ([0,100]) attributes of type word_freq_word.

Significance coefficients and target values of the attributes are also indicated in Table 3.

The attributes are sequentially added one by one starting with the color subset.

The attributes are in general of two types, namely beneficial and non-beneficial.

Suppression In this method, certain values of the attributes are supplanted by an asterisk '*'.

In naive Bayesian approach, the attributes are assumed to be conditionally independent.