全部文献期刊会议图书|学者科研项目
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作者:Long Tang , Yingjie Tian , Wenjun Li ...
来源:[J].Applied Soft Computing Journal(IF 2.14), 2020
摘要:Abstract(#br)Although the structural regularized support vector machine (SRSVM) can enhance the generalization capability of the standard support vector machine (SVM), its current version is used only for binary classification. To make SRSVM adapt to the K -class classification, ...
作者:Hugo W. Schneider , Taina Raiol , Marcelo M. Brigido ...
来源:[J].BMC Genomics(IF 4.397), 2017, Vol.18 (1)Springer
摘要:... Thus, we present a Support Vector Machine (SVM) based method to distinguish lncRNAs from PCTs, using features based on frequencies of nucleotide patterns and ORF lengths, in transcripts.
作者:Chun-Chi Chen , Xiaoning Qian , Byung-Jun Yoon
来源:[J].BMC Bioinformatics(IF 3.024), 2017, Vol.18 (14)Springer
摘要:Piwi-interacting RNAs (piRNAs) are a new class of small non-coding RNAs that are known to be associated with RNA silencing. The piRNAs play an important role in protecting the genome from invasive transposons in the germline. Recent studies have shown that piRNAs are linked to th...
作者:B. Richhariya , M. Tanveer
来源:[J].Pattern Recognition(IF 2.632), 2020, Vol.102
摘要:... The support vector machine (SVM) classifier becomes biased towards the majority class due to class imbalance. Moreover, in the existing SVM based techniques for class imbalance, there is no information about the distribution of data. Motivated by the idea of prior information...
作者:Zhenya Wang , Ligang Yao , Yongwu Cai
来源:[J].Measurement(IF 1.13), 2020, Vol.156
摘要:... This paper proposes a fault diagnosis for rolling bearings, based on Generalized Refined Composite Multiscale Sample Entropy (GRCMSE), Supervised Isometric Mapping (S-Isomap) and Grasshopper Optimization Algorithm based Support Vector Machine (GOA-SVM). First, GRCMSE is utili...
作者:Yiming Che , Changqing Cheng , Zhao Liu ...
来源:[J].Physica D: Nonlinear Phenomena(IF 1.669), 2020, Vol.405
摘要:... Hence, we propose a sequential support vector machine (SVM) framework to efficiently locate the stability boundaries and delineate the basin of attraction. The high-fidelity time-domain simulation is only called upon those sampling points that are predicted by SVM to be close...
作者:Cong Pian , Shanjun Mao , Guangle Zhang ...
来源:[J].Molecular Therapy - Nucleic Acids, 2020, Vol.19, pp.1423-1433
摘要:... In this paper, a novel method was developed to discover DM-miRNAs using support vector machine (SVM) based on not only the miRNA expression data but also the expression of its regulating target. The application of the new method in breast and kidney cancer datasets found, res...
作者:Tahereh Bahraini , Saeedeh Ghazi , Hadi Sadoghi Yazdi
来源:[J].Engineering Applications of Artificial Intelligence(IF 1.625), 2020, Vol.90
摘要:Abstract(#br)Support vector machines (SVM) is one of the prevalent techniques in the machine learning which is applicable in many of the real world classification problems. However, these problems are sensitive to noise and the presence of the outliers in training data. For th...
作者:A K Sampath , N Gomathi
来源:[J].Sādhanā(IF 0.393), 2017, Vol.42 (9), pp.1513-1525Springer
摘要:... To resolve this problem, we propose a fuzzy-based multi-kernel spherical support vector machine. Initially, the input image is fed into the pre-processing step to acquire suitable images. Then, histogram of oriented gradient (HOG) descriptor is utilised for feature extraction...
作者:D. J. Bordoloi , Rajiv Tiwari
来源:[J].Journal of the Brazilian Society of Mechanical Sciences and Engineering(IF 0.234), 2017, Vol.39 (8), pp.2957-2968Springer
摘要:... Vibration-based monitoring of machinery faults using machine learning approaches has been one of latest trends. This paper presents the use of one of the machine learning tools, i.e., the support vector machine (SVM), for innovatively using in the diagnosis of blockage levels...

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