Fine‐tuning restricted Boltzmann machines using quaternions and its application for spam detection
Author:
Affiliation:
1. School of Sciences, UNESP – São Paulo State UniversityBauruBrazil
2. Programa de Pós‐Graduação em Informática Aplicada, Universidade de FortalezaFortalezaCearáBrazil
Publisher
Institution of Engineering and Technology (IET)
Subject
Control and Optimization,Management Science and Operations Research,Computer Networks and Communications
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-net.2018.5172
Reference25 articles.
1. Lopes N. Ribeiro B. Goncalves J.: ‘Restricted Boltzmann machines and deep belief networks on multi‐core processors’.Int. Joint Conf. on Neural Networks Brisbane QLD Australia 2012 pp.1–7
2. Model selection for Discriminative Restricted Boltzmann Machines through meta-heuristic techniques
3. He S. Wang S. Lan W.et al: ‘Facial expression recognition using deep Boltzmann machine from thermal infrared images’.Humaine Association Conf. on Affective Computing and Intelligent Interaction Geneva Switzerland 2013 pp.239–244
4. Peng W. Huang L. Jia J.et al: ‘Enhancing the naive Bayes spam filter through intelligent text modification detection’.17th IEEE Int. Conf. on Trust Security and Privacy in Computing and Communications/12th IEEE Int. Conf. on Big Data Science and Engineering New York NY USA August2018 pp.849–854
5. Ensemble decision for spam detection using term space partition approach;Tan Y.;IEEE Trans. Cybernet.,2018
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