Drupal-Biblio47<style face="normal" font="default" size="100%">Arrhythmia classification using local Holder exponents and support vector machine</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Identification of coding and non-coding sequences using local holder exponent formalism</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Knowledge incorporated support vector machines to detect faults in Tennessee Eastman Process</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Regression models using pattern search assisted least square support vector machines</style>Drupal-Biblio17<style face="normal" font="default" size="100%">SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Improved time series prediction with a new method for selection of model parameters</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Data-driven dynamic modeling and control of a surface aeration system</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Development of support vector regression (SVR)-based correlation for prediction of overall gas hold-up in bubble column reactors for various gas-liquid systems</style>Drupal-Biblio47<style face="normal" font="default" size="100%">Fault diagnosis using dynamic time warping</style>Drupal-Biblio47<style face="normal" font="default" size="100%">Granular support vector machine based method for prediction of solubility of proteins on overexpression in Escherichia coli</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Using pseudo amino acid composition to predict protein subnuclear localization: approached with PSSM</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Using recurrence quantification analysis descriptors for protein sequence classification with support vector machines</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Multicanonical jump walk annealing assisted by tabu for dynamic optimization of chemical engineering processes</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Optimal xylanase production using Penicilium janthinellum NCIM 1169: a model based approach</style>Drupal-Biblio17<style face="normal" font="default" size="100%">SVR-based prediction of point gas hold-up for bubble column reactor through recurrence quantification analysis of LDA time-series</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Development of correlations for overall gas hold-up, volumetric mass transfer coefficient, and effective interfacial area in bubble column reactors using hybrid genetic algorithm-support vector regression technique: viscous newtonian and non-newtonian liq</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Development of unified correlations for volumetric mass-transfer coefficient and effective interfacial area in bubble column reactors for various gas-liquid systems using support vector regression</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Feature selection and classification employing hybrid ant colony optimization/random forest methodology</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Festschrift in Honor of Dr. B. D. Kulkarni</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Identification of defensins employing recurrence quantification analysis and random forest classifiers</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Identification of N-glycosylation sites with sequence and structural features employing random forests</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Quantitative structure-property relationship (QSPR) prediction of liquid viscosities of pure organic compounds employing random forest regression</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Review on lazy learning regressors and their applications in QSAR</style>