Improved Fuzzy Functions Support Vector Classifier Results
Fuzzy logic based improved support vector machine (F ISVM) classifier for heart disease classification
... inputs. Fuzzy rule-based classification systems (FRBCSs) (Ishibuchi et ...2011). Support vector machine is one such machine learning algorithm and can be used for classification in data ...mining. ...
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Design of a Novel Hybrid Algorithm for Improved Speech Recognition with Support Vector Machines Classifier
... International Journal of Emerging Technology and Advanced Engineering Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3, Issue 6, June 2013) 253 Among the Daubechies family of wavelets, ...
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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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A Genetic Fuzzy System Based On Improved Fuzzy Functions
... of results is presented to reflect a general summary of the research experiments: A new performance measure for stock price estimation ...decision support system that can predict the next day stock prices ...
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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 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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Intrusion Detection Using Honeypot and Support Vector Machine Classifier
... multiclass support vector machine approach. The support vector machine is used for binary ...with improved accuracy of ...the results with existing ...
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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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Performance Analysis of Classification of Cardiotocograms Using Support Vector Machine based Classifier
... the Support Vector Machine methods with respect to confusion matrix and ...the Support Vector Machine based classification approach provided significant ...the Support Vector ...
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Improved Protein Function Classification Using Support Vector Machine
... a classifier is generated on the basis of the data with the Gaussian radial basis function ...linear classifier is obviously unsuitable for this problem, since the model is circularly ...Our results ...
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An image classification algorithm using fuzzy support vector machine
... SVM classifier to distinguish each class separately from other types of class, resulting in the k ...several improved algorithm, including ECOC, DAG ...
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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
... 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
... 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
... 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
... 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
... 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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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
... 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
... Classification, Fuzzy membership, Interval-valued fuzzy support vector ...traditional fuzzy support vector machine (FSVM) hardly distinguishes between the sparse sample ...
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