Classification of Web Site by Naive-Bayes and Convolutional Neural Networks
Author:
Affiliation:
1. Tokyo University of Technology, Hachioji City, Tokyo, Japan
Funder
MEXT/JSPS KAKENHI
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3164541.3164581
Reference7 articles.
1. Raphael Cohen Iddo Aviram Michael Elhadad and Noémie Elhadad. 2014. Redundancy-aware topic modeling for patient record notes. PLoS ONE 9 2 (2014). Raphael Cohen Iddo Aviram Michael Elhadad and Noémie Elhadad. 2014. Redundancy-aware topic modeling for patient record notes. PLoS ONE 9 2 (2014).
2. Nal Kalchbrenner Edward Grefenstette and Phil Blunsom. 2014. A Convolutional Neural Network for Modelling Sentences. (2014) 655--665 pages. Nal Kalchbrenner Edward Grefenstette and Phil Blunsom. 2014. A Convolutional Neural Network for Modelling Sentences. (2014) 655--665 pages.
3. N-gram support vector machines for scalable procedure and diagnosis classification, with applications to clinical free text data from the intensive care unit
4. The nature and fate of natural resins in the geosphere. Part X.† Structural characteristics of the macromolecular constituents of modern Dammar resin and Class II ambers
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