[PDF] Top 20 Gene Selection and Classification Using Linear Support Vector Machine Based On Microarray Data
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Gene Selection and Classification Using Linear Support Vector Machine Based On Microarray Data
... learning machine based on two key elements: a general purpose learning algorithm and a problem specific kernel that computes the inner product of input data points in a feature ...transductive ... See full document
6
Gene Selection for Tumor Classification Using Microarray Gene Expression Data
... of gene expression data [3]. Several machine learning techniques have been successfully applied to cancer classification using microarray data ...(KNN), support ... See full document
6
Pathway-based Analysis with Support Vector Machine (SVM-LASSO) for Gene Selection and Classification
... high data throughput due to increased use of microarray ...context-specific data like cancer gene expression data, which affect the classification ...for gene ... See full document
6
Study on a Hybrid Approach for Improving Clinical Behavior of Cancer by Assorting Informative Genes
... the classification and diagnosis of cancer nodules, gene expression profiling by micro array techniques are playing a fundamental ...of machine learning and data-mining approaches for ... See full document
10
Gene Microarray Cancer Classification using Correlation Based Feature Selection Algorithm and Rules Classifiers
... Abstract—Gene microarray classification problems are considered a chal- lenge task since the datasets contain few number of samples with high number of genes ...subset selection in ... See full document
12
Support Vector Machine based Classification into Groups using Discriminant Function
... Abstract: Support Vector Machines(SVMs) support vector networks and also supervise learning models with associated learning algorithms that analyze data and recognize patterns used for ... See full document
7
Attribute Based Face Classification Using Support Vector Machine
... the data can be separated into two groups by a hyperplane without any training ...the data have this property, they are said as linearly separable and hyperplane that separates data is called a ... See full document
7
Grey relational analysis feature selection for cancer classification using support vector machine
... cancer classification problems have been extensively ...Cancer classification problems generally involve a number of ...lower classification accuracy (Lin et al, 2008). Therefore, the ... See full document
43
Feature Selection based Classification using Naive Bayes, J48 and Support Vector Machine
... of machine learning techniques in data mining has ...a machine learning technique called as supervised ...training data, this labeled training data is used for deriving a function [1, ... See full document
5
Identification of materials through SVM classification of their LIBS spectra
... with machine learning technique capable of pattern ...Supervised machine learning techniques are more suited for the ...tool based on supervised learning mechanism is known as Support ... See full document
5
A Review on Support Vector Machine for Data Classification
... Support Vector Machines (SVM) is a powerful; state-of-the- art algorithm with strong theoretical foundations based on the Vapnik-Chervonenkis ...new data. Support vector machines ... See full document
5
Privacy Protected Medical Data Classification in precision medicine using an Ontology based Support Vector Machine in the Diabetes Management System
... accurate machine learning technique, it does not have the capacity to represent semantically the classification and reasoning rules which can enable more precise ...clinical data, we introduce the Kronecker ... See full document
9
Efficient Cluster Based Classification in Big Data Analysis using Support Vector Machine
... with data prolifering by Institutions, Individuals and Machines at a very high ...This data is categories as "Big Data"[4] due to its sheer Volume, Variety, Velocity and ...this data ... See full document
5
Feature Selection and Classification of Microarray Gene Expression Data of Ovarian Carcinoma Patients using Weighted Voting Support Vector Machine
... for using these methods to analysis of gene expression data ...of data, there is an increasing attention in data mining field and extraction of precious and helpful information from a ... See full document
13
Epileptic Seizure Data Classification Using RBAs and Linear SVM
... Support Vector Machine (SVM) is a supervised machine learning algorithm which can be used for both classification and regression based ...in classification problems. In ... See full document
14
Imbalanced Data Classification Based on Hybrid Resampling and Twin Support Vector Machine
... the data samples of minority ...representative data as training data in the cluster to improve the classification accuracy for minority ... See full document
18
Classification of power disturbances using multilevel support vector Machine
... non linear load in the ...computer data loss and memory malfunction of sensitive loads such as computer, programmable logic controller controls, protection and relaying equipment; and erratic operation of ... See full document
5
Linear Discriminant Analysis based Hybrid SVM-CART for Intrusion Detection System
... of Linear Discriminant Analysis based Support Vector Machine-Classification and Regression ...a support vector along the main component and classifies various ... See full document
7
Odor Detection and Quality Evaluation by Machine Olfaction
... In addition to reliability and safety, odor quality has become an important factor in customers’ preferences when they acquire new automobiles. Odors inside automobiles are complex mixtures of volatile organic compounds ... See full document
155
An Approach to Efficient Software Bug Prediction using Regression Analysis and Neural Networks
... and Classification [3]. Classification and prediction that can be used to extract models describing significant defect data classes or to predict future defect ...trends. Classification ... See full document
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