[PDF] Top 20 Signal Classification Method Based on Support Vector Machine and High Order Cumulants
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Signal Classification Method Based on Support Vector Machine and High Order Cumulants
... a classification method based on Support Vector Machine (SVM) is given in the digital modu- lation signal ...sixth order cumulants of the received signals ... See full document
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Online Full Text
... methods, support vector machines (SVMs) are well-known [6] by its highly accurate computational capabilities and high-dimensional data ...for classification, they are widely used in protein ... See full document
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CLASSIFICATION OF ELECTROCARDIOGRAM SIGNALS WITH SUPPORT VECTOR MACHINE AND RELEVANCE VECTOR MACHINE
... classifier based on the Gaussian kernel in the original feature space ...reduction-based classification scheme; and 3) RVM performs better results than SVM and provides very high result than ... See full document
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Text Classification Mining Support on Categorize Support Vector Machine Based on GA
... guarantee high- quality overview capability and improved classify ...exceptional machine learning technique ...technique based on classify SVM is obtainable in this paper Our work includes a ... See full document
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Robust Classification of Primary Brain Tumor in MRI Images Based on Multi Model Textures Features and Kernel Based SVM
... the high diversity in appearance of tumor tissue among different patients and the ambiguous boundaries of ...novel method of classification of primary brain tumor in MRI images using multi model ... See full document
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Using Wavelet Support Vector Machine for Fault Diagnosis of Gearboxes
... strategy based on residual mutual information (RMI), higher than second order features embedded in multi-channel vibration measurements can be captured ...acoustic signal on gearbox, the analysis ... See full document
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Analysis Comparison of The Classification Data Mining Method to Predictthe Decisions of Potential Customer Insurance
... is based on area, age and ...is Classification while the method used is the classification Decision Tree (decision tree) and support vector machine ...tree ... See full document
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Transformer Fault Diagnosis Based on Support Vector Machine and Cat Swarm Optimization
... novel machine learning method based on ...Firstly, Support vector machine (SVM) is the statistical theory, which implements the principle of structural risk minimization in place ... See full document
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An Approach of Modulation Recognition Using 4th Order Cyclic Cumulants Vector of Digital Signal for Cognitive Radio
... however, high recognition precision is usually achieved by relative large number of training data and more various features of digital signal, which call for much more ...4th order cyclic ... See full document
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A Novel Discourse Parser Based on Support Vector Machine Classification
... Beside the role of nuclearity in the sub-structure implied by Marcu’s compositionality criterion (see Sect. 3.5), we expect to see certain correlations between the relation being classified and relation patterns in ... See full document
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Classification of power disturbances using multilevel support vector Machine
... a high level of engineering ...In order to improve the power quality of the system, the above events have to be identified and appropriate mitigating actions have to be ...in order to record the ... See full document
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Support Vector Machine-Based Classification of AD on Bootstrap Method
... Recent classification methods have been developed that allow an individual class ...in order to categorize new subjects, who belong to the so-called test population, into one of the classes the subjects of ... See full document
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Traffic Data Analysis using Decision Tree and Naïve Bayes Classifier
... D. SUPPORT VECTOR MACHINE : In machine learning, support vector machines are supervised learning models with associated learning algorithms that analyze data used for ... See full document
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Development of Mushroom Expert System Based on SVM Classifier and Naive Bayes Classifier
... injection method in which knowledge is collected form domain experts by conducting ...Instead, machine learning algorithms are used to learn from its past ... See full document
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Sulfur Dioxide Detection Signal Denoising Based on Support Vector Machine
... concentration. The system is mainly composed of light source, gas chamber, signal collect and processing part. The deuterium lamp (LHD30, Zolix) is used as excitation source, it has peak in 200~300nm and good ... See full document
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A Detailed Analysis on Windows Event Log Viewer for Faster Root Cause Detection of Defect using Different Graph Plotting Method
... proactive method for settling failing gear before they cause ...model based on data sensing techniques such as Data Through proximity sensor, velometer and ...different machine learning algorithm and ... See full document
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Document Classification Using Support Vector Machine
... technique Support vector machines [SVM] providing a group of supervised learning methods that can be applied to classification or regression ...Text Classification (TC)algorithms learn ... See full document
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Detection of Masquerade Attack by Data Driven Semi-Global Alignment Approach
... According to Naïve Bays algorithm these episodes are Masquerade or normal. Which is used to the number of command in Masquerade block. This technique improves the hit ratio but there is high false positive rates. ... See full document
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Comparison of Classification Algorithms using Machine Learning
... After reading we realize that gradient tree boosting algorithms in this part. The Explanation follows from the same idea in existing literatures in gradient boosting. Specifically, the second order method ... See full document
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Classification of Epistles using Distant Supervision
... comparable results on tweets with distant supervision. In order to train a classifier, supervised learning usually re- quires hand-labeled training data. With the large range of topics discussed on Twitter, it ... See full document
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