SupportVectorMachine(SVM)相关论文
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Digital watermarking is an effective method to solve problems of information security and copyright protection.In this p......
In recent years,the UAV(Unmanned aerial vehic le)plant protection machine was widely being popular ized and used for fer......
Influence of kernel paradigms, attribute numbers or data filtering on the performance of SVM in pred
Purpose: Support vector machine (SVM) model learning is commonly used in tumor prognosis evaluation for prostate cancer,......
Optimized automatic classification of IDH1 based on comprehensive tumor histogram and texture featur
Purpose: To perform data mining of the multimodal diagnostic MRI images with support vector machine(SVM)model learning b......
Purpose: Texture features of medical images are important data format for Support vector machine(SVM)learning in prognos......
Influence of kernel paradigms,attribute numbers or data filtering on the performance of SVM in predi
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Rational drug screening on neuraminidase (NA) inhibitors of influenza virus using support vector mac
Aim: Neuraminidase (NA) is one of the most important drug targets for antiinfluenza drugs, NA inhibitors are currently t......
Bipolar disorders (BP) are characterized by a mood fluctuation, ranging frommania to depression.Current BP diagnosis and......
Human immunodeficiency virus type 1(HIV-1)is the pathogen of human acquired immunodeficiency syndrome(AIDS).Having no co......
Spleen tyrosine kinase (Syk) provides an interesting target for the therapy of Rheumatoid arthritis.Interruption of Syk ......
Poly-ADP-ribose polymerase 1(PARP-1)is the highest content isoform of PARPs and the inhibition of PARP-1 is considered a......
Quantitative Structure-Activity Relationship(QSAR)models on HIV-1 protease inhibitors by machine lea
HIV-1 protease inhibitors(PIs)make a vital contribution on highly active antiretroviral therapy(HAART)of human immunodef......
According to changeability of cloud, cloud-type recognition was primarily based on single-class feature in previous pape......
Transcription factors(TFs)bind to specific DNA sequence motifs.Several lines of evidence suggest that TF-DNA binding is ......
The purpose of this study is to examine optical spatial frequency spectroscopy analysis (SFSA) combined with visible res......
针对已有遥感影像模拟方法难以在影像光谱维上扩展的不足, 提出了一种基于地物波谱学习的遥感影像波段模拟方法.以地物波谱库作为......
基于荧光检测机理,将平行因子与支持向量机(SVM)算法相结合,对多环芳烃中的苊、芴和萘进行检测。将荧光光谱数据预处理后作为训练......
为快速鉴别5种蜂蜜(椴树蜜、荆条蜜、油菜蜜、洋槐蜜、荔枝蜜)的品种,首次提出了基于主成分分析(PCA)方法结合线性支持向量机(SVM)......
为突破医学影像诊断学依据医学征象进行定性诊断准确度不高的瓶颈,针对胸部CT图像中孤立性肺结节(SPN)定性诊断问题,提出了能够用......
以支持向量机(SVM)的算法为基础，建立了近红外光谱识别脐橙表面被农药污染的定性分析模型。168个脐橙实验样本被随机的分为两组，第一......
In silico toxicity prediction by support vector machine and SMILES representation-based string kerne
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Human immunodeficiency virus type 1 (HIV-1) is the etiological agent of human acquired immunodeficiency syndrome (AI......
Hepatitis C virus (HCV) infection constitutes a global health problem, which affects more than 170 million individua......
The Enzyme Commission (EC) classification system is widely used in chemistry and biology and is maintained by the No......
目的 应用支持向量机(support vector machine,SVM)建立食管鳞状细胞癌(esophageal squamous cell carcinoma,ESCC)术后生存期预测......
In this paper, we used SVM method to detect P300 signal. Before training a classification parameter for the SVM, several......
This paper presents a real-time alga classifier designed for flow-cytometry-based marine alga monitoring systems.The dif......
Fault diagnosis of diesel engine valve clearance under variable operating condition based on soft in
The fault detection and diagnosis of diesel engine valve clearance can effectively improve the availability and safety o......
A Statistical Parameter Analysis and SVM Based Fault Diagnosis Strategy for Dynamically Tuned Gyrosc
Gyros fault diagnosis plays a critical role in inertia navigation systems for higher reliability and precision. A new fa......
The recognition of electroencephalogram (EEG) signals is the key of brain computer interface (BCI).Aimed at the problem ......
Multiple mental tasks classification based on nonlinear parameter of mean period using support vecto
Mental task classification is one of the most important problems in Brain-computer interface. This paper studies the cla......
Geospatial objects detection within complex environment is a challenging problem in remote sensing area. In this paper, ......
