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PSO Fuzzy Functions Support Vector Classifier Results

PSO with mutation for fuzzy classifier design

PSO with mutation for fuzzy classifier design

... of fuzzy classifiers is the formation of fuzzy if-then rules and the membership ...for fuzzy classifier design which incorporates the concept of mutation from evolutionary ...the fuzzy ...

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Euler Movement Firefly Algorithm and Fuzzy Kernel Support Vector Machine Classifier for Keystroke Authentication

Euler Movement Firefly Algorithm and Fuzzy Kernel Support Vector Machine Classifier for Keystroke Authentication

... experimentation results, it has been concluded that the proposed method enhanced the performances in terms of both distance-based novelty detectors, and non-distance-based ...

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Ensemble fuzzy support vector machine classifier based on maximum 
		spanning tree for big data analytics

Ensemble fuzzy support vector machine classifier based on maximum spanning tree for big data analytics

... Today the buzz word in information technology is big data. Classification is one among the thrust research problem in such big data and its corresponding application scenarios. This research work makes use of an ensemble ...

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Fuzzy logic based improved support vector machine (F ISVM) classifier for 
		heart disease classification

Fuzzy logic based improved support vector machine (F ISVM) classifier for heart disease classification

... developing fuzzy logic based improved support vector machine ...classifier. Support vector machine is a type of supervised machine learning technique and once when the dataset is ...

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FUZZY BASED SUPPORT VECTOR MACHINE CLASSIFIER WITH WIENER FILTER (FSVM – WF) FOR INTRUSION DETECTION SYSTEM

FUZZY BASED SUPPORT VECTOR MACHINE CLASSIFIER WITH WIENER FILTER (FSVM – WF) FOR INTRUSION DETECTION SYSTEM

... of fuzzy based support vector machine classifier with wiener filter (FSVM – WF) for intrusion detection ...Then fuzzy logic system is added up with support vector machine ...

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A reformulation of support vector machines for general confidence functions

A reformulation of support vector machines for general confidence functions

... confidence functions determined by the linear and RBF kernels ...the results are still not comparable to the linear and quadratic weighting ...confidence functions are only weakly informative here, ...

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Particle swarm optimization for linear support vector machines based classifier selection

Particle swarm optimization for linear support vector machines based classifier selection

... SVM classifier from a set of linear classifiers with the same ...for classifier evaluation based on sum of true positive ratios is proposed together with this algorithm; it is more suitable for imbalanced ...

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An image classification algorithm using fuzzy support vector machine

An image classification algorithm using fuzzy support vector machine

... D. Classification method According to the classification process shown in the above figure 1, input the original image, the first step is to make pretreatments, such as noise reduction, enhancement etc. This step has the ...

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A support vector based interval type 2 fuzzy system

A support vector based interval type 2 fuzzy system

... systematical fuzzy modelling and fuzzy iden- tification methodology is the Takagi-Sugeno-Kang (TSK) fuzzy system [10], ...a fuzzy system that can transform human knowledge and experience ...

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Support Vector Machine Neural Network Based Optimal Binary Classifier for Diabetic Retinopathy

Support Vector Machine Neural Network Based Optimal Binary Classifier for Diabetic Retinopathy

... binary classifier for diabetic ...transfer functions are taken into consideration. The classification results are obtained through rigorous ...and Support vector machine(SVM) are ...

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Study on support vector machine as a classifier

Study on support vector machine as a classifier

... An assemblage of this nature could never have been attempted without reference to and inspiration from the works of others whose details are mentioned in reference section. I acknowledge our indebtedness to all of them. ...

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Study on proximal support vector machine as a classifier

Study on proximal support vector machine as a classifier

... proximal support vector machine ...the classifier is a hyperplane in the high-dimensional feature space, it may be nonlinear in the original input ...kernel functions, but it is not suitable ...

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Building Support Vector Machines with Reduced Classifier Complexity

Building Support Vector Machines with Reduced Classifier Complexity

... Support Vector Machines (SVMs) are modern learning systems that deliver state-of-the-art perfor- mance in real world pattern recognition and data mining applications such as text categorization, ...

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Face Recognition Using Vector Quantization Histogram and Support Vector Machine Classifier

Face Recognition Using Vector Quantization Histogram and Support Vector Machine Classifier

... Vector Quantization Method Figure 2 shows the process steps of VQ histogram. Before VQ processing, an average low-pass filter is applied to filter input image. High-frequency noises are reduced, and most effective ...

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Intrusion Detection Using Honeypot and Support Vector Machine Classifier

Intrusion Detection Using Honeypot and Support Vector Machine Classifier

... While the attacker prepares for an attack, the IDS redirects him to the honeypot. We make the attacker believe that he is working with the actual system. The activities related to the attack are recorded by the honeypot ...

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Signature Verification System Based on Support Vector Machine Classifier

Signature Verification System Based on Support Vector Machine Classifier

... exploitation support vector machine ...throughout support vector machine classifier coaching, variety of real and solid signatures ar ...

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Data Perturbation Analysis of the Support Vector Classifier Dual Model

Data Perturbation Analysis of the Support Vector Classifier Dual Model

... the support vector classifier dual problem, from which the data perturbation analysis of the corresponding primary problem may be performed through standard re- ...the support vector ...

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Interval valued Fuzzy Support Vector Machine

Interval valued Fuzzy Support Vector Machine

... Classification, Fuzzy membership, Interval-valued fuzzy support vector ...traditional fuzzy support vector machine (FSVM) hardly distinguishes between the sparse sample ...

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Least Squares Support Vector Fuzzy Regression

Least Squares Support Vector Fuzzy Regression

... squares support vector fuzzy regression model (LS_SVFR) is proposed to estimate uncertain and imprecise data by applying the fuzzy sets principle in weight ...weight vector and the bias ...

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Farkas-Type Results for Vector-Valued Functions with Applications

Farkas-Type Results for Vector-Valued Functions with Applications

... Farkas-type results for vector optimization and to show that, like their scalar counterparts in scalar optimization, these results have interesting applications in vector optimization and ...

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