Sentence examples for most popular classifiers from inspiring English sources

One of the most popular classifiers, the least square support vector machines (LS_SVMs) [11], is used to classify EEG data.

SVM and ANN were the most popular classifiers [11, 24] which were used in this pilot study.

Two optimizations with 7 and 10 sensors are obtained with two feature selection methods in which the adaptation of RIMER+ for smart environment provides an encouraged performance against the most popular classifiers in terms of robustness.

Experimental results on INRIA and SDL databases show that the performance of CSEC is better than two most popular classifiers SVM and AdaBoost, as well as a most recent method CLML.

The three most popular classifiers based on the ensemble method, are bagging [42], AdaBoost M1 [43] and Random Forest [44].

The Support Vector Machine (SVM) [ 47] is perhaps the most popular classifier in current bioinformatics work.

Nearest neighbor (NN) classifier is the most popular non-parametric classifier.

Among other, Boosting [18 20] is one of the most popular procedures for combining the performance of weak classifiers in order to achieve a better classifier.

The most popular approach builds gene signatures by training machine-learning classifiers to recognize the presence and absence of mutations from molecular features such as gene expression data (Mooney et al., 2011).

In machine learning many methods like SVM, neural networks, fuzzy logic and gaussian mixture model based classifiers are popular out of which SVM is the most popular.

The individual classifiers in URSA were trained on samples only from the most popular Affymetrix Human Genome U133 Plus 2.0 platform (hgu133plus2).