Sentence examples for both prediction and classification from inspiring English sources

Recently, support vector regression (SVR), based on the statistical learning theory, have been proposed as a new intelligence technique for both prediction and classification tasks.

Recently, adaptive neuro-fuzzy inference systems have been proposed as a new intelligence framework for both prediction and classification based on fuzzy clustering optimization criterion and ranking.

In order to evaluate the prediction performance of RNAcon (both prediction and classification of noncoding RNAs), we compared RNAcon with different gene-calling programs, CONC, CPC, GraPPLE and Rfam-based covariance models.

This suggests that regardless of semantic issues, the prediction and classification of lipoproteins represents a challenge for both experimentalists and bioinformaticians alike.

Five different drill wear conditions were artificially introduced to the neural network for prediction and classification.

There are also some other applications such as parameter estimation, prediction, and classification.

Artificial neural network (ANN) is an appropriate method used to handle the modeling, prediction and classification problems.

From statistical perspectives, neural networks are interesting because of their potential use in prediction and classification problems.

ANNs provide great capability and flexibility for estimation, prediction and classification purposes.

Usually time is a very important feature in prediction and classification problems.

Some work has been done developing machine learning as prediction and classification tools in SCAs.