Support vector machine (SVM) kernel function
Comparison Of Various Kernels Of Support Vector Machine
... field. Support vector machine is the popular algorithm for classification and ...by support vector machine, LIBSVM is being used as a ...tool. Support vector ...
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Applications of Support Vector Machine Based on Boolean Kernel to Spam Filtering
... filtering, support vector machine (SVM) is applied widely, because it is efficient and has high separating ...of support vector machine arithmetic is how to choose the ...
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FEATURE SELECTION USING MODIFIED ANT COLONY OPTIMIZATION APPROACH (FS MACO) BASED FIVE LAYERED ARTIFICIAL NEURAL NETWORK FOR CROSS DOMAIN OPINION MINING
... a machine learning technique named Support Vector Machine (SVM) using Radial-basis kernel function (RBF) and a Particle Swarm Optimization algorithm to optimize the parameters of ...
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A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD
... Evolution Kernel Based Navie Based ...to Support Vector Machine (SVM) classifier algorithm where Radial Basis Function Kernal(RBF) is ...the Kernel based Naïve bayes ...
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Intelligent Robotic Inspection System Using Image Processing Technique
... of support vector machine classifier are ...and Kernel RBF functions in- order to acquire improved trial information Again the trial information can test by SVM linear and radial basis ...
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A Review On Parkinson's Disease Diagnosis Through Speech
... a Support Vector Machine (SVM) implementation of the algorithm was used with C-SVC (Support Vector Classification) kernel type and Radial Basis kernel function in ...
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Comparative Analysis of Artificial Neural Network and Support Vector Machine Classification for Breast Cancer Detection
... Radiologists still produces some variation in reading images. So, there is a need for automatic interpretation of images or automated classification system, and for this purpose classifier is required. ANN, SVM and many ...
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Ultra short term wind speed forecasting based on support vector machine with combined kernel function and similar data
... Common support vector machine kernel functions Support vector machine is a machine learning method based on statistical ...non-linear kernel function ...
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Recognition of Diseases of Leaf using SVM with Radial Basis Kernel Function
... Abstract: Organic farming obtains admiration in agricultural industry. Several complications get up during farming wherein the disease affected leaf contemplated to be very powerful aspect for the shortage of ...
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Support Vector Machine Kernel Functions Performance Evaluation in Epileptic Seizure Detection from EEG
... using support vector machine ...discriminating function that maps a feature vector derived from EEG with seizure/nonseizure ...a support vector machine assembly ...
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1. Hilbert transform and rbf-kernel based support vector machine synergy for automatic classification of eeg signals
... a machine learning approach for the development of a computer aided Radial Basis Function kernel based Support Vector Machine (SVM) used to analyze and classify EEG ...RBF ...
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Effect of Various Kernels and Feature Selection Methods on SVM Performance for Detecting Email Spams
... various Kernel functions and different Feature Selection Techniques for improving the learning capability of Support Vector Machine (SVM) in detecting email ...four Kernel functions of ...
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Kernel Based Extreme Learning Machine in Identifying Dermatological Disorders
... Learning Machine (ELM)has gained importance among various learning algorithms particularly related to multi classification ...paper, kernel-based ELM is used to identify common skin disorders such as ...
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Improved Protein Function Classification Using Support Vector Machine
... Protein function classification is one of the most important problems in modern computational ...enzymes. Support vector machine in drug discoveries and designing based on two data sets of ...
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Analog Circuit Feasibility Modeling using Support Vector Machine with Efficient Kernel Functions
... space. Support vector machines (SVMs) are used as classifier to identify the feasible design space of analog ...A kernel is an integral part of the SVM and contributes in obtaining an optimized and ...
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A Survey on Stock Market Prediction Using SVM
... more support for the weak form of the efficient markets ...and support vector machines (SVM) models for the stock selection problem: An application on the Istanbul Stock Exchange (ISE) ...Das ...
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Data-Adaptive Kernel Support Vector Machine
... on kernel functions (Hastie et al. (2001)). Hence, it is the kernel that is crucial to determine the performance of the SVM ...optimal kernel function is driven by the prior knowledge of the ...
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A Fast And Energy Efficient Path Planning Algorithm For Offline Navigation Using Svm Classifier
... In Support Vector Machine is trained with Radial Basis Function as kernel function because the dataset is non linear in nature and it classifies the dataset based on the weights ...
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Stock Market Prediction Using Support Vector Machine
... problems. Support Vector Machine (SVM) is a relatively new learning algorithm that has the desirable characteristics of the control of the decision function, the use of the kernel ...
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Particle Swarm Optimization With Kernel Support Vector Machine For Churn Prediction In Telecommunication Industry
... It is constrained with major benefits of dual form function which is the slack variables disappear from dual issue, along with a constant that appears in the form of extra condition of Lagrange multipliers. Then, ...
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