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pro vyhledávání: '"Xiao Lei Xia"'
Autor:
Xiao-Lei Xia, Mingxing Ouyang
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e81683 (2013)
One of the most important applications of microarray data is the class prediction of biological samples. For this purpose, statistical tests have often been applied to identify the differentially expressed genes (DEGs), followed by the employment of
Externí odkaz:
https://doaj.org/article/1b80170178ea47899fdbbefa0b548189
Autor:
Xiao-Lei Xia
Publikováno v:
Xia, X-L 2018, ' Training Sparse Least Squares Support Vector Machines by the QR Decomposition ', Neural Networks . https://doi.org/10.1016/j.neunet.2018.07.008
The solution of an LS-SVM has suffered from the problem of non-sparseness. The paper proposed to apply the KMP algorithm, with the number of support vectors as the regularization parameter, to tackle the non-sparseness problem of LS-SVMs. The idea of
Autor:
Xiao-Lei Xia
Publikováno v:
Biocybernetics and Biomedical Engineering. 37:510-519
Issues surrounding the misuse of illegal drugs in animals destined for food production have be an enormous challenge to regulatory authorities charged with enforcing their control. A method has been proposed recently which compared the bovine blood b
Publikováno v:
Sheng li xue bao : [Acta physiologica Sinica]. 69(3)
Transcutaneous electrical nerve stimulation (TENS), as a non-pharmacological and non-invasive analgesic therapy with low-cost, has been widely used to relieve pain in various clinical applications, by delivering current pulses to the skin area to act
Publikováno v:
Studies in health technology and informatics. 235
To identify differentially expressed genes (DEGs) in analysis of microarray data, a majority of existing filter methods rank gene individually. Such a paradigm could overlook the genes with trivial individual discriminant powers but significant power
Autor:
Xiao-Lei Xia, Huanlai Xing
Publikováno v:
Expert Systems with Applications. 40:6019-6032
The identification of significant attributes is of major importance to the performance of a variety of Learning Classifier Systems including the newly-emerged Bioinformatics-oriented Hierarchical Evolutionary Learning (BioHEL) algorithm. However, the
Publikováno v:
Applied Mechanics and Materials. :210-213
t is important for dynamic characteristics of electromagnetic release with oil dashpot to calculate the oil damping force. The formula of the oil damping force is deduced by the theoretical formula of viscous damper or according to the experimental r
Publikováno v:
Mathematical Problems in Engineering, Vol 2013 (2013)
The Forward Least-Squares Approximation (FLSA) SVM is a newly-emerged Least-Square SVM (LS-SVM) whose solution is extremely sparse. The algorithm uses the number of support vectors as the regularization parameter and ensures the linear independency o
Publikováno v:
Soft Computing. 15:833-843
This paper proposes a new hierarchical learning structure, namely the holistic triple learning (HTL), for extending the binary support vector machine (SVM) to multi-classification problems. For an N-class problem, a HTL constructs a decision tree up