## Abstract This article employs Support Vector Machine (SVM) and Relevance Vector Machine (RVM) for prediction of Evaporation Losses (__E__) in reservoirs. SVM that is firmly based on the theory of statistical learning theory, uses regression technique by introducing Ξ΅βinsensitive loss function ha
β¦ LIBER β¦
Support Vector Machine and Relevance Vector Machine for Prediction of Alumina and Pore Volume Fraction in Bioceramics
β Scribed by Kangeyanallore Govindaswamy Shanmugam Gopinath; Soumen Pal; Pijush Samui; Bimal Kumar Sarkar
- Book ID
- 117964494
- Publisher
- John Wiley and Sons
- Year
- 2012
- Tongue
- English
- Weight
- 236 KB
- Volume
- 10
- Category
- Article
- ISSN
- 1546-542X
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