نتایج جستجو برای: support vector machine svm

تعداد نتایج: 1034216  

2009
Seo Young Park Yufeng Liu

The Support Vector Machine (SVM) has been successfully applied for classification problems in many different fields. It was originally proposed using the idea of searching for the maximum separation hyperplane. In this article, in contrast to the criterion of maximum separation, we explore alternative searching criteria which result in the new method, the Bounded Constraint Machine (BCM). Prope...

2014
Cheng-Long Ma Yu-Bo Yuan

Support vector machine (SVM) is regarded as a powerful method for pattern classification. However, the solution of the primal optimal model of SVM is susceptible for class distribution and may result in a nonrobust solution. In order to overcome this shortcoming, an improved model, support vector machine with globality-locality preserving (GLPSVM), is proposed. It introduces globality-locality ...

2016
Ting Xu Hongping Hu Xiaoyan Wang Hui Liu Yanping Bai

Laser ultrasonic defect detection and classification has been widely used in engineering and material defect detection, so detecting and classifying the defect targets accurately is significant. In order to obtain the higher classification accuracy, an improved support vector machine (SVM) based on particle swarm optimization algorithm is used as classifier in this paper. To search the optimal ...

2016
V. Sudharsan B. Yamuna Amrita Vishwa Vidyapeetham

Modern communication systems require robust, adaptable and high performance decoders for efficient data transmission. Support Vector Machine (SVM) is a margin based classification and regression technique. In this paper, decoding of Bose Chaudhuri Hocquenghem codes has been approached as a multi-class classification problem using SVM. In conventional decoding algorithms, the procedure for decod...

Journal: :research in pharmaceutical sciences 0

a quantitative structure–activity relationship (qsar) study is suggested for the prediction of biological activity (pic 50 ) of 3, 4-dihydropyrido [3 ,2-d] pyrimidone derivatives as p38 inhibitors. modeling of the biological activities of compounds of interest as a function of molecular structures was established by means of principal component analysis (pca) and least square support vector mac...

Background and Objectives: Support vector machine (SVM) is a robust and effective statistical method for the diagnosis and prediction of clinical outcomes based on combinations of predictor variables. The aim of this study was to use SVM to detect the functional limitations in the diabetic patients and evaluate the accuracy of this diagnosis. Materials and Methods: This descriptive study was c...

2002
Xipan Xiao Haizhou Ai Li Zhuang Lihang Ying Guangyou Xu

In this paper we present improved training algorithms to two newly developed classifiers, reduced set vector machines and Adaboost cascade classifier applied in face detection, which are all based on learning from data. Support vector machine (SVM) has been proved to be a powerful tool for solving practical pattern recognition problems based on learning from data. Due to large number of support...

2010
Melissa Stockman Mariette Awad

Because applying machine learning techniques in support of clinical decision would improve decision makers in healthcare, we present in this paper a comparative framework of Support Vector Machine (SVM) classifiers based on post operative patient (POP) data. We compare the performance of a single multiclass SVM and a multistage SVM (MSVM) to those obtained by a number of other classifiers prese...

2013
Prem Raj Adhikari Jaakko Hollmén

s from Journal of Machine Learning (JMLR) reproduce kernel hilbert space support vector machin svm

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