Customizing SVM as a base learner with AdaBoost ensemble to learn from multi-class problems: A hybrid approach AdaBoost-MSVM
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Information Systems and Management,Management Information Systems,Software
Reference56 articles.
1. J.J.S. Mani, S. Rani Kasireddy, Population Classification upon Dietary Data Using Machine Learning Techniques with IoT and Big Data, in: Social Network Forensics, Cyber Security, and Machine Learning (SpringerBriefs in Applied Sciences and Technology), 2019, 9-27.
2. B.N. Silva, M. Diyan, K. Han, Big.Data. Analytics, Big Data Analytics, in: Deep Learning: Convergence to Big Data Analytics (SpringerBriefs in Computer Science), 2019, 13-30.
3. M. Anandarajan, C. Hill, T. Nolan, Classification Analysis: Machine Learning Applied to Text, in: Practical Text Analytics (Advances in Analytics and Data Science), 2019, 131-149.
4. S. Sharma, J. Agrawal, S. Agarwal, S. Sharma, Machine learning techniques for data mining: a survey, presented at the 2013 IEEE International Conference on Computational Intelligence and Computing Research, 2013.
5. Sparse supervised representation-based classifier for uncontrolled and imbalanced classification;Shu;IEEE Trans. Neural. Netw. Learn. Syst.,2018
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