In crowdsourcing scenarios, we can hire crowd workers to label crowdsourced tasks and
then use label integration algorithms to infer the integrated label for each instance in the …

In recent years, a wide spectrum of database tuning systems have emerged to automatically
optimize database performance. However, these systems require a significant number of …

Motivation Discrete features can be obtained from protein sequences using a feature
extraction method. These features are the basis of downstream processing of protein data …

Aiming at the problems of the dynamic increase in data in real life and that the naive Bayes
(NB) classifier only accepts or rejects the sample processing results, resulting in a high error …

Bayesian network classifier (BNC) allows efficient and effective inference under condition of
uncertainty for classification, and it depicts the interdependencies among random variables …

The flotation process often utilizes multiple features of froth image for identification.
However, existing methods overlook the classification information generated by the …

The inverted specific-class distance measure (ISCDM) continues to be one of the top
distance metrics addressing only address nominal attributes when missing values and …