Impact of Various Kernels on Support Vector Machine Classification Performance for Treating Wart Disease
暂无分享,去创建一个
[1] Steve Renals,et al. Evaluation of kernel methods for speaker verification and identification , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[2] Robert Powers,et al. Protein NMR recall, precision, and F-measure scores (RPF scores): structure quality assessment measures based on information retrieval statistics. , 2005, Journal of the American Chemical Society.
[3] Bernhard Schölkopf,et al. Training Invariant Support Vector Machines , 2002, Machine Learning.
[4] R. Alizadehsani,et al. Intralesional immunotherapy compared to cryotherapy in the treatment of warts , 2017, International journal of dermatology.
[5] P. K. Panigrahi,et al. A Comparative Study of Supervised Machine Learning Techniques for Spam E-mail Filtering , 2012, 2012 Fourth International Conference on Computational Intelligence and Communication Networks.
[6] M. J. Pringle,et al. SUPPORT VECTOR MACHINE CLASSIFICATION OF OBJECT-BASED DATA FOR CROP MAPPING, USING MULTI-TEMPORAL LANDSAT IMAGERY , 2012 .
[7] อนิรุธ สืบสิงห์,et al. Data Mining Practical Machine Learning Tools and Techniques , 2014 .
[8] Shrawan Kumar Trivedi,et al. Effect of Various Kernels and Feature Selection Methods on SVM Performance for Detecting Email Spams , 2013 .
[9] Divya Tomar,et al. A survey on Data Mining approaches for Healthcare , 2013, BSBT 2013.
[10] Saeid Nahavandi,et al. An expert system for selecting wart treatment method , 2017, Comput. Biol. Medicine.