Sentence examples for data for classification from inspiring English sources

The model uses training data for classification by estimating uncertain quantities using the Bayes theorem.

Next, in Section 3 the description of experimental data for classification is given.

Several studies [27, 28] have used features extracted from musical data for classification and recommendation.

The main objective is to obtain reliable data for classification and effective analysis of the signals [23, 24, 25, 26].

In this work, a new algorithm to extract a compact set of if/then rules from data for classification problems is presented.

Existing soil mapping and targeted new field work were used as training data for classification tree models of soil distribution, with geology, climate, remote sensing and digital terrain data as predictors.

Training data required for classification and validation of the latest remote sensing data were compiled from field observations using a pre-calibrated hand-held GPS Global Positioning Systemm).

We use single-lead data (MLII) for classification, noting that the methods can be applied to 12-lead data as well.

More importantly, there is the lack of a general framework for ELM to integrate multiple heterogeneous data sources for classification.

We propose and investigate the performance of a new geometry-based algorithm designed to identify potentially informative data points for classification.

In machine learning, support vector machines (SVM) are supervised learning models with associated learning algorithms that analyse data used for classification and regression analysis.