Sentence examples for methods for supervised from inspiring English sources

Finding optimal parameter values through a trial-and-error process is commonly practiced at the expense of time and labor, thus, several alternative supervised and unsupervised methods for supervised automatic parameter setting have been proposed and tested.

This paper presents an alternative approach for the use of text classification methods for supervised learning problems with numerical-valued features in which the numerical features are converted into bag-of-words features, thereby making them directly usable by text classification methods.

There are alternative methods for supervised learning using multiple types of data, and we will pursue a comparison of our method against these alternatives in Section 3.2.3.

The prediction performance is compared with six popular published methods for supervised discovery of motifs/CRMs based on a wide spectrum of models: Cister (Frith et al., 2002), Cluster-Buster (Frith et al., 2003), BayCis (Lin et al., 2008), Stubb (Sinha et al., 2006), Ahab (Rajewsky et al., 2002) and MSCAN (Johansson et al., 2003).

A new method for supervised texture classification, denoted by frame texture classification method (FTCM), is proposed.

Kernel deep stacking networks (KDSNs) are a novel method for supervised learning in biomedical research.

In this paper, we develop a novel feature transformation method for supervised linear dimensionality reduction.

The study proposes a method for supervised classification of multi-channel surface electromyographic signals with the aim of controlling myoelectric prostheses.

Although the idea of secondary data incorporation is applicable to any kernel method or method that can be kernelized, we present results for the weighted Least Squares Support Vector Machine (LS-SVM), a method for supervised classification that takes the typical unbalance in many two-class problems into account [27] [29].

Results: We propose a new method for supervised classification of arrayCGH data.

In this article, we propose a new method for supervised classification, specifically designed for the processing of arrayCGH profiles.