Results 11 to 20 of about 263,437 (264)
Contextualizing Support Vector Machine Predictions
International Journal of Computational Intelligence Systems, 2020 Classification in artificial intelligence is usually understood as a process whereby several objects are evaluated to predict the class(es) those objects belong to.
Marcelo Loor, Guy De Tré
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Faster Support Vector Machines [PDF]
ACM Journal of Experimental Algorithmics, 2019 The time complexity of support vector machines (SVMs) prohibits training on huge datasets with millions of data points. Recently, multilevel approaches to train SVMs have been developed to allow for time-efficient training on huge datasets.
Sebastian Schlag +2 more
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Binarized Support Vector Machines [PDF]
INFORMS Journal on Computing, 2010 The widely used support vector machine (SVM) method has shown to yield very good results in supervised classification problems. Other methods such as classification trees have become more popular among practitioners than SVM thanks to their interpretability, which is an important issue in data mining.In this work, we propose an SVM-based method that ...
Emilio Carrizosa +2 more
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Cauchy: Jurnal Matematika Murni dan Aplikasi, 2021 The curriculum is a plan to form the abilities and character of children based on a standard. One of its form is the division of specialization classes at the high school level.
Stevanny Tamaela +2 more
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Overcome Support Vector Machine Diagnosis Overfitting
Cancer Informatics, 2014 Support vector machines (SVMs) are widely employed in molecular diagnosis of disease for their efficiency and robustness. However, there is no previous research to analyze their overfitting in high-dimensional omics data based disease diagnosis, which is
Henry Han, Xiaoqian Jiang
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Two-Phase Indefinite Kernel Support Vector Machine
Jisuanji kexue yu tansuo, 2020 Recently, indefinite kernel support vector machine (IKSVM) has attracted great attention in the machine learning community as more and more indefinite metric kernel matrices have occurred.
SHI Na, XUE Hui, WANG Yunyun
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Diagnostics, 2023 Improving forecasts, particularly the accuracy, efficiency, and precision of time-series forecasts, is becoming critical for authorities to predict, monitor, and prevent the spread of the Coronavirus disease.
Abdul Aziz K Abdul Hamid +9 more
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Solving Support Vector Machine with Many Examples
Journal of Telecommunications and Information Technology, 2023 Various methods of dealing with linear support vector machine (SVM) problems with a large number of examples are presented and compared. The author believes that some interesting conclusions from this critical analysis applies to many new optimization ...
Paweł Białoń
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Chunking with support vector machines [PDF]
Second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies 2001 - NAACL '01, 2001 We apply Support Vector Machines (SVMs) to identify English base phrases (chunks). SVMs are known to achieve high generalization performance even with input data of high dimensional feature spaces. Furthermore, by the Kernel principle, SVMs can carry out training with smaller computational overhead independent of their dimensionality. We apply weighted
KUDO, TAKU, MATSUMOTO, YUJI
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Quantum-Enhanced Support Vector Machine for Sentiment Classification
IEEE Access, 2023 Quantum computers have potential computational abilities such as speeding up complex computations, parallelism by superpositions, and handling large data sets. Moreover, the field of natural language processing (NLP) is rapidly attracting researchers and
Fariska Zakhralativa Ruskanda +4 more
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