Results 131 to 140 of about 125,053 (147)

Soft sensor technique using LS-SVM and standard SVM

2005 IEEE International Conference on Information Acquisition, 2006
Support vector machine (SVM) is a modern machine learning method based on Vapnik's statistical learning theory. In this paper, regression support vector machine has been proposed as a tool to soft sensor technique, in which SVM is used to estimate variable which is highly nonlinear.
null Hao-ran Zhang, null Xiao-dong Wang, null Chang-jiang Zhang, null Xiu-ling Xu   +3 more
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SVM and Ensemble-SVM in EEG-Based Person Identification

2020
Biometric person identification is getting more effective and popular because of Electroencephalography (EEG). EEG signals can be captured from human scalp invasively or non-invasively with the help of electrodes. EEG-based biometric system is more secure and unique for person identification.
Banee Bandana Das, Saswat Kumar Ram, Bibudhendu Pati, Chhabi Rani Panigrahi, Korra Sathya Babu, Ramesh Kumar Mohapatra   +5 more
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???? ?????????????????????????????? ?????????????????????????? ???????????????? ???????????? ?????????????? ???????????????? (SVM)

2013
???????????????????? ???????????????????????? ?????????????????????? SVM-???????????? ?????????????? ????????????????, ?????????????????? ?????????????? ?????????????? ?????????????? ???????????????? ??????????????. ???????????? ???????????????????? ?????????????????????????? ???? ???????????? ?????????????????????? ???????????????? ????????????????????
openaire   +1 more source

RV-SVM: An Efficient Method for Learning Ranking SVM

2009
Learning ranking (or preference) functions has become an important data mining task in recent years, as various applications have been found in information retrieval. Among rank learning methods, ranking SVM has been favorably applied to various applications, e.g., optimizing search engines, improving data retrieval quality.
Hwanjo Y, Youngdae K, Seungwon H.
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Basics of SVM Method and Least Squares SVM

2023
Kourosh Parand, Fatemeh Baharifard, Alireza Afzal Aghaei, Mostafa Jani   +3 more
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Accelerate SVM Training with OHD-SVM on GPU

2023
Chao-Chin Wu, De-Xang Wang, Lien-Fu Lai
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Intelligent hydrogen flame recognition method: Comparisons among SVM, GA-SVM and PSO-SVM

2024 4th International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM)
Wanghua Jiang, Xueliang Fan
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SVM

2011
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VISUAL SVM

Proceedings of the Seventh International Conference on Enterprise Information Systems, 2005
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Sentiment Analysis “Using SVM, KNN and SVM with PCA”

2023
Praveen Verma, Tushar Bhardwaj, Abhay Bhatia, Mohd Mursleen   +3 more
openaire   +1 more source