An ensemble of SVM classifiers based on gene pairs

A multi-objective heuristic algorithm for gene expression microarray data classification

“…'k-TSP + SVM' is a hybrid approach integrating the k-TSP ranking algorithm with SVM ( Shi, Ray, Zhu, & Kon, 2011 ). GA-ESP is a genetic algorithm based ensemble SVM built on TSP ( Tong et al, 2013 ). The ensemble FUS is the fusion by vote rule of three different methods Fisher Score, Neighborhood Preserving Embedding and Tree Wavelet ( Nanni, Brahnam, & Lumini, 2012 ).…”

“…TSP, k-TSP ( Tan et al, 2005 ) and SVM-RFE ( Tong, Liu, Xu, & Ju, 2013 ) are three common used methods. 'kernelPLS + KNN' is proposed by Sun which is a kernel based multivariate feature selection method ( Sun et al, 2014 ).…”

Automated colon cancer detection using hybrid of novel geometric features and some traditional features

“…In these schemes, authors select one spectral band amongst several bands of hyperspectral cube, calculate image features, and then based on these features classify samples into multiple classes. Some researchers have studied thousands of human genes in parallel by using two variants of microarrays [7,8]. Their aim was to identify such genetic alterations, which were supposed to be responsible for colon cancer.…”

Machine Learning:An Effective Technique in Bio-Medical Signal Analysis and Classification

“…First, for larger samples, the classifier remains more effective. Second, it is capable to handle large feature space having the desired theoretical bounds with good network generalization [14][15][16]. Third, the network needs a few parameters for tuning, easy to implement and optimize using the convex quadratic cost function.…”