نتایج جستجو برای: svm classifier

تعداد نتایج: 59967  

In this paper, several two-dimensional extensions of principal component analysis (PCA) and linear discriminant analysis (LDA) techniques has been applied in a lossless dimensionality reduction framework, for face recognition application. In this framework, the benefits of dimensionality reduction were used to improve the performance of its predictive model, which was a support vector machine (...

2017
Qiang Li Yu Gu Jing Jia

Chinese liquors are internationally well-known fermentative alcoholic beverages. They have unique flavors attributable to the use of various bacteria and fungi, raw materials, and production processes. Developing a novel, rapid, and reliable method to identify multiple Chinese liquors is of positive significance. This paper presents a pattern recognition system for classifying ten brands of Chi...

2016
Rou Jiang Rui You Xiao-Qing Pei Xiong Zou Meng-Xia Zhang Tong-Min Wang Rui Sun Dong-Hua Luo Pei-Yu Huang Qiu-Yan Chen Yi-Jun Hua Lin-Quan Tang Ling Guo Hao-Yuan Mo Chao-Nan Qian Hai-Qiang Mai Ming-Huang Hong Hong-Min Cai Ming-Yuan Chen

The aim of this study was to develop a prognostic classifier and subdivided the M1 stage for nasopharyngeal carcinoma patients with synchronous metastases (mNPC). A retrospective cohort of 347 mNPC patients was recruited between January 2000 and December 2010. Thirty hematological markers and 11 clinical characteristics were collected, and the association of these factors with overall survival ...

2017
Yuming Jiang Wei Liu Tuanjie Li Yanfeng Hu Sile Chen Sujuan Xi Yajia Wen Lei Huang Liying Zhao Cuicui Xiao Xiaohui Huang Zhen Han Hao Liu Xiaolong Qi Yang Yang Jiang Yu Shirong Cai Guoxin Li

To determine whether p21-activated Kinase (PAK) 6 is a prognostic and predictive marker in gastric cancer (GC) and to construct a classifier that can identify a subset of patients who are highly sensitive to 5-fluorouracil/oxaliplatin chemotherapy. We retrospectively analyzed the expression levels of PAK6, cyclooxygenase 2, p21WAF1, Ki-67, excision repair cross-complementing gene 1, and thymidy...

2016
Tipawan Silwattananusarn Wanida Kanarkard Kulthida Tuamsuk

In this paper ensemble learning based feature selection and classifier ensemble model is proposed to improve classification accuracy. The hypothesis is that good feature sets contain features that are highly correlated with the class from ensemble feature selection to SVM ensembles which can be achieved on the performance of classification accuracy. The proposed approach consists of two phases:...

Journal: :Journal of Intelligence and Information Systems 2013

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