[PDF] Top 20 Using Support Vector Machine for Integrating Catalogs
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Using Support Vector Machine for Integrating Catalogs
... categorizations. In this paper, we use support vector machines (SVM), which have been shown to be efficient and effective for classification. In this paper we apply this fine classification method to ... See full document
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Integrating independent component analysis and support vector machine for multivariate process monitoring
... However, the T 2 sequence returns within the control limit approx- imately at sample 355. This result may confuse operators when judging the process condition after sample 355. By plotting the normal probability plot ... See full document
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Pornography Detection by Using Support Vector Machine
... coaxial light to illuminate PLED panels. 4.1. Image Segmentation In the high-resolution inspection system, inspected images may have different sizes. Besides, it is hard to use a single threshold to binarize images to ... See full document
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PHONETIC BOUNDARY REFINEMENT USING SUPPORT VECTOR MACHINE
... 5. CONCLUSIONS SVM has been successfully applied in many applications, but it is less widely applied in speech processing research. In this paper, we have presented a SVM-based boundary refine- ment approach to improve ... See full document
4
Toward the Best Feature Model for Network Intrusion Detection Using Stepwise Regression and Support Vector Machine
... Many real world problems exist in more than two classes. Most researchers view multi-class SVMs as an extension of the binary SVM classification problem. Two commonly used approaches are one-against-all and ... See full document
6
Incorporating Support Vector Machine for Identifying Protein Tyrosine Sulfation Sites
... a support vector machine (SVM) for predicting protein sulfotyrosine ...identified using UniProtKB/SwissProt release ...methods for accurately predicting the location of tyrosine ... See full document
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Incorporating support vector machine for identifying protein tyrosine sulfation sites
... sulfotyrosine sites. One hundred sixtytwo experimentally verified tyrosine sulfation sites were identified using UniProtKB/SwissProt release 53.0. The results of a five-fold cross-validation evaluation suggest ... See full document
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Incorporating Support Vector Machine for Identifying Protein Tyrosine Sulfation Sites
... where a maximal separating hyperplane is defined. Two parallel hyperplanes are constructed on each side of the hyperplane that separates the data into two groups. The separating hyperplane is that which maximizes the ... See full document
12
Active Learning with Hinted Support Vector Machine
... suitably using the information in the hint pool D h , both uncertainty and representativeness can be considered concurrently to obtain a query boundary that assists Q in making query ... See full document
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A Spatial-Contextual Support Vector Machine for Remotely Sensed Image Classification
... Spatial–Contextual Support Vector Machine for Remotely Sensed Image Classification Cheng-Hsuan Li, Bor-Chen Kuo, Member, IEEE, Chin-Teng Lin, Fellow, IEEE, and Chih-Sheng Huang Abstract—Recent ... See full document
16
THE WHALE ALGORITHM OPTIMIZED SUPPORT VECTOR MACHINE FOR CHANNEL QUALITY CONTROL OF GNSS VECTOR TRACKING LOOP
... VFLL vector tracking loop. A VDLL was first proposed [2] for the GPS receivers to provide better performance over tra- ditional scalar-based receiver for weak GPS ...a vector delay/frequency ... See full document
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A Portable, Wireless Photoplethysomography Sensor for Assessing Health of Arteriovenous Fistula Using Class-Weighted Support Vector Machine
... sensor for assessing arteriovenous fistula (AVF) by using class-weighted support vector machines (SVM) was presented in this ...solutions for AVF ...derived for the SVM ... See full document
18
Mining Translations of Chinese Name from Web Corpora by Using Query Expansion Technique and Support Vector Machine
... Taipei 115, Taiwan {khyang, hmlee, hoho}@iis.sinica.edu.tw Abstract Chinese name translation is a special case of the problem of named entity translation. It is a very challenging problem because there exist many kinds ... See full document
4
Diagnosis of Severe Obstructive Sleep Apnea with Model Designed Using Genetic Algorithm and Ensemble Support Vector Machine
... CDSS integrating genetic algorithm and ensemble support vector machine was designed to select salient features and to construct the model for the diagnosis of patients with severe ... See full document
1
A Hybrid Prototype Construction and Feature Selection Method with Parameter Optimization for Support Vector Machine
... The algorithm uses two bins, called training set S and prototype subset P. Initially, randomly select one sample from S to P. Then, we pass one by one over the samples in S per epoch and classify each patter x i ∈ S ... See full document
6
Working Set Selection Using Second Order Information for Training Support Vector Machines
... Chih-Jen Lin. Linear convergence of a decomposition method for support vector machines. Technical report, Department of Computer Science, National Taiwan University, 2001b. URL ... See full document
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A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
... 3.1. Our proposed approach In the proposed GA-SVM model, the SVM parameters are dynamically optimized by implementing the RGA evo- lutionary process and the SVM model then performs the prediction task using these ... See full document
12
Adaptive Morse code recognition using support vector machines for persons with physical disabilities
... SVMs machine-learning technique was suc- cessfully applied to the problem adaptive Morse code recog- ...tool for persons with various physical disabilities and other afflictions that worsen with time and can ... See full document
8
A support vector machine approach to CMOS-based radar signal processing for vehicle classification and speed estimation
... index. For supervisory classifiers LDA and SVM, the environmental installation problem leads to retraining of the classifier for each installation of the radar ...5. Using clutter-map CFAR, the radar ... See full document
11
Online Transductive Support Vector Machine Nguyen, Thanh Tuan、陳木松
... of support vector machines using sequential minimal ...— Support Vector Learning, pages 185–208, Cambridge, MA, ...Semi-supervised support vector ...Representation ... See full document
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