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Using unsupervised clustering approach to train the Support Vector Machine for text classification
Shafiabady, Niusha, Lee, L.H., Rajkumar, R., Kallimani, V.P., Akram, Nik Ahmad, Isa, Dino
Published in Neurocomputing (Amsterdam) (26.10.2016)
Published in Neurocomputing (Amsterdam) (26.10.2016)
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A Novel Hybrid Model Combining the Support Vector Machine Technique in Predicting PM[sub.10] Concentration
Shaziayani, Wan Nur, Ahmat, Hasfazilah, Razak, Tajul Rosli, Zainan Abidin, Aida Wati, Warris, Saiful Nizam, Asmat, Arnis, Noor, Norazian Mohamed, Ul-Saufie, Ahmad Zia
Published in Atmosphere (01.12.2022)
Published in Atmosphere (01.12.2022)
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A Novel Hybrid Model Combining the Support Vector Machine (SVM) and Boosted Regression Trees (BRT) Technique in Predicting PM10 Concentration
Shaziayani, Wan Nur, Ahmat, Hasfazilah, Razak, Tajul Rosli, Zainan Abidin, Aida Wati, Warris, Saiful Nizam, Asmat, Arnis, Noor, Norazian Mohamed, Ul-Saufie, Ahmad Zia
Published in Atmosphere (01.12.2022)
Published in Atmosphere (01.12.2022)
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Similarity Index Values in Fuzzy Logic and the Support Vector Machine Method Applied to the Identification of Changes in Movement Patterns During Biceps-Curl Weight-Lifting Exercise
Peres, André B., Almeida, Tiago A. F., Massini, Danilo A., Macedo, Anderson G., Espada, Mário C., Robalo, Ricardo A. M., Oliveira, Rafael, Brito, João P., Pessôa Filho, Dalton M.
Published in Journal of functional morphology and kinesiology (28.02.2025)
Published in Journal of functional morphology and kinesiology (28.02.2025)
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Species classification of individual fish using the support vector machine
Kinjo, Atsushi, Ito, Masanori, Matsuo, Ikuo, Imaizumi, Tomohito, Akamatsu, Tomonari
Published in The Journal of the Acoustical Society of America (01.10.2014)
Published in The Journal of the Acoustical Society of America (01.10.2014)
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P1-311: Use of the support vector machine and sensitivity of an Alzheimer's disease-related region-of-interest gray matter classifier in identifying amnestic mild cognitive impairment subjects who convert to Alzheimer's disease: Preliminary findings from the Alzheimer's disease neuroimaging initiative
Zhang, Hang, Wu, Tong, Bae, Min-Hyeok, Reiman, Eric M, Alexander, Gene E, Thompson, Paul M, Jack, Clifford R, Chen, Kewei
Published in Alzheimer's & dementia (01.07.2008)
Published in Alzheimer's & dementia (01.07.2008)
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Electroencephalogram electrode localization in the support vector machine classification of dyslexic children
Mahmoodin, Z., Mansor, W., Lee, Khuan Y., Zainuddin, A. Z. A.
Published in 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) (01.12.2016)
Published in 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) (01.12.2016)
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Species Classification by the Support Vector Machine Using the Broadband Split-Beam
KINJO, Atsushi, ITO, Masanori, MATSUO, Ikuo, IMAIZUMI, Tomohito, AKAMATSU, Tomonari
Published in Kaiyou Onkyuo Gakkaishi (01.10.2014)
Published in Kaiyou Onkyuo Gakkaishi (01.10.2014)
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Application of the support vector machine to the identification of human pulse signals
Kunbao Cai, Xiaoming Wen, Yunzi Duan
Published in 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (01.12.2010)
Published in 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (01.12.2010)
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