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Advanced Search Results For "SUPPORT vector machines"

1 - 10 of 67,452 results for
 "SUPPORT vector machines"
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Weighted Incremental-Decremental Support Vector Machines for concept drift with shifting window.

Publication Type:Academic Journal

Source(s):Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2022 Aug; Vol. 152, pp. 528-541. Date of Electronic Publication: 2022 May 27.

Abstract:We study the problem of learning the data samples' distribution as it changes in time. This change, known as concept drift, complicates the task of training a model, as the predictions become less and less accurate. It is known that Support Vector Mach...

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Evolution of Support Vector Machine and Regression Modeling in Chemoinformatics and Drug Discovery.

Publication Type:Academic Journal

Source(s):Journal of computer-aided molecular design [J Comput Aided Mol Des] 2022 May; Vol. 36 (5), pp. 355-362. Date of Electronic Publication: 2022 Mar 19.

Abstract:The support vector machine (SVM) algorithm is one of the most widely used machine learning (ML) methods for predicting active compounds and molecular properties. In chemoinformatics and drug discovery, SVM has been a state-of-the-art ML approach for mo...

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Possibilistic classification by support vector networks.

Publication Type:Academic Journal

Source(s):Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2022 May; Vol. 149, pp. 40-56. Date of Electronic Publication: 2022 Feb 12.

Abstract:In many real-world classification problems, the available information is often uncertain. In order to effectively describe the inherent vagueness and improve the classification performance, this paper proposes a novel possibilistic classification algor...

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Brain tumor classification of virtual NMR voxels based on realistic blood vessel-induced spin dephasing using support vector machines.

Publication Type:Academic Journal

Source(s):NMR in biomedicine [NMR Biomed] 2022 Apr; Vol. 35 (4), pp. e4307. Date of Electronic Publication: 2020 Apr 14.

Abstract:Remodeling of tissue microvasculature commonly promotes neoplastic growth; however, there is no imaging modality in oncology yet that noninvasively quantifies microvascular changes in clinical routine. Although blood capillaries cannot be resolved in t...

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RDDSVM: accurate prediction of A-to-I RNA editing sites from sequence using support vector machines.

Publication Type:Academic Journal

Source(s):Functional & integrative genomics [Funct Integr Genomics] 2021 Nov; Vol. 21 (5-6), pp. 633-643. Date of Electronic Publication: 2021 Sep 16.

Abstract:Adenosine to inosine (A-to-I) editing in RNA is involved in various biological processes like gene expression, alternative splicing, and mRNA degradation associated with carcinogenesis and various human diseases. Therefore, accurate identification of R...

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Application of PSO-Optimized Twin Support Vector Machine in Medium and Long-Term Load Forecasting under the Background of New Normal Economy.

Publication Type:Academic Journal

Source(s):Advances in Multimedia. 9/13/2022, p1-9. 9p.

Abstract:In order to improve the accuracy of medium and long-term load forecasting in the new normal economy, this paper combines the PSO-optimized twin support vector machine to build a medium and long-term load forecasting model under the background of the ne...

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SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia.

Publication Type:Academic Journal

Source(s):Computational Intelligence & Neuroscience. 9/8/2022, p1-13. 13p.

Abstract:Schizophrenia (SZ) is a severe and prolonged disorder of the human brain where people interpret reality in an abnormal way. Traditional methods of SZ detection are based on handcrafted feature extraction methods (manual process), which are tedious and ...

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Lithology Logging Recognition Technology Based on GWO-SVM Algorithm.

Publication Type:Academic Journal

Source(s):Mathematical Problems in Engineering. 8/29/2022, p1-11. 11p.

Abstract:Accurate identification of lithology is the basis and key process of fine logging interpretation and evaluation. However, reservoirs formed by different sedimentary environments and tectonic movements generally have the characteristics of complex and d...

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Cybercrime: Identification and Prediction Using Machine Learning Techniques.

Publication Type:Academic Journal

Source(s):Computational Intelligence & Neuroscience. 8/27/2022, p1-10. 10p.

Abstract:In the world of cyber age, cybercrime is spreading its root extensively. Supervised classification methods such as the support vector machine (SVM) and K-nearest neighbor (KNN) models are employed for the classification of cybercrime data. Likewise, th...

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Gene Classification Based on Multi-Class SVMs with Systematic Sampling and Hierarchical Clustering (SSHC) Algorithm.

Publication Type:Academic Journal

Source(s):Advances in experimental medicine and biology [Adv Exp Med Biol] 2021; Vol. 1338, pp. 231-237.

Abstract:The support vector machines (SVMs) is one of the machine learning algorithms with high classification accuracy. However, the support vector machine algorithm has a very high training complexity. Thus, it is not very efficient with large datasets. In th...

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