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What library is SVM in R?

Genetic algorithm

Support vector machine

Brake specific fuel consumption

Structured support vector machine

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Journal Article•DOI Support Vector Machine Classification Trees Peter de B. Harrington 22 Oct 2015-Analytical Chemistry 30 Citations	The novel feature is that the distribution of the data objects is used to determine the SVM encoding.
Open access•Journal Article•DOI Improving Classification of Cancer and Mining Biomarkers from Gene Expression Profiles Using Hybrid Optimization Algorithms and Fuzzy Support Vector Machine. Niloofar Yousefi Moteghaed, Keivan Maghooli, Masoud Garshasbi - Show less +2 more 07 Jan 2018-Journal of medical signals and sensors 10 Citations	The results show that the best kernel used in training the SVM classifier is the radial basis function.
Open access•Book Chapter•DOI A Comparison of Multiclass SVM Methods for Real World Natural Scenes Can Demirkesen, Hocine Cherifi - Show less +1 more 20 Oct 2008 40 Citations	Our experimental results show that all-in-one SVM outperforms the other methods.
Open access•Journal Article•DOI Support vector machine to predict diesel engine performance and emission parameters fueled with nano-particles additive to diesel fuel Mani Ghanbari, Gholamhassan Najafi, Barat Ghobadian, Rizalman Mamat, M. M. Noor, M. M. Noor, Ashkan Moosavian - Show less +6 more 22 Dec 2015 16 Citations	The results demonstrate that SVM is capable of predicting the diesel engine performance and emissions.
Proceedings Article•DOI A combined SVM and LDA approach for classification Tao Xiong, Vladimir Cherkassky - Show less +1 more 27 Dec 2005 1K Citations	We show that existing SVM software can be used to solve the SVM/LDA formulation.
Open access•Proceedings Article•DOI GA-SVM Based Framework for Time Series Forecasting Thi H. O. Nguyen, Lee Gordon-Brown, Peter Wheeler, James Andrew Peterson - Show less +3 more 14 Aug 2009 10 Citations	Experiments demonstrated that the integrated GA-SVM approach is superior compared to conventional SVM applications.

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SVM (Support Vector Machines) ?5 answersSupport Vector Machine (SVM) is a powerful machine learning algorithm primarily used for classification tasks. SVM works by finding the optimal decision boundary that maximizes the margin between different classes in the data, aiming to enhance classification accuracy, robustness, and generalization ability. It is widely applied in various fields, including drug design, where SVM aids in optimizing chemical structures, ensuring drug safety, target discovery, and even in COVID-19-related research. SVM can handle both linearly and nonlinearly separable problems, making it versatile for different types of datasets. Additionally, SVM can be adapted for regression tasks, showcasing its flexibility in addressing a wide range of machine learning challenges.

What is the svm?4 answersSupport Vector Machine (SVM) is a widely used classifier in bioinformatics and machine learning. It is a powerful classification tool that has been used in cancer genomics and biomedical signal classification. SVMs are binary linear classifiers that can be extended to non-linear data using kernels. They have been used for various applications such as document classification, word-sense disambiguation, and drug design. SVMs have different parameters that can influence their accuracy, and selecting good parameter values is important. There are also various techniques and strategies for solving SVMs, and researchers have proposed different problem formulations and solvers. SVMs have been implemented in libraries like LibSVM, which is widely used by researchers. The complexity of SVMs is O(n^3), and the time complexity can be affected by the size of the data.

How long does SVM take to run in R?9 answers

How to find AUC for SVM in R?7 answers

How to speed up SVM in R?8 answers

What does SVM stand for in machine learning?3 answers

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