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Rule Extraction from SVM for Protein Structure Prediction.

J. He, H. Hu, B. Chen, P. Tai, R. Harrison, and Y. Pan. Rule Extraction from Support Vector Machines, volume 80 of Studies in Computational Intelligence, Springer, (2008)

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Huimin Hu University of Stuttgart

Dr. Xinxin Jing University of Stuttgart

Yang Hu University of Stuttgart

Zhiming Hu University of Stuttgart

Nils Huber University of Stuttgart

Other publications of authors with the same name

Transmembrane segments prediction and understanding using support vector machine and decision tree.J. He, H. Hu, R. Harrison, P. Tai, and Y. Pan. Expert Syst. Appl., 30 (1): 64-72 (2006)Factoring tertiary classification into binary classification improves neural network for protein secondary structure prediction.W. Zhong, G. Altun, H. Hu, R. Harrison, P. Tai, and Y. Pan. CIBCB, page 175-181. IEEE, (2004)Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction.J. He, B. Chen, H. Hu, R. Harrison, P. Tai, Y. Dong, and Y. Pan. CSB Workshops, page 224-227. IEEE Computer Society, (2005)CNVRuler: a copy number variation-based case-control association analysis tool.J. Kim, H. Hu, S. Yim, J. Bae, S. Kim, and Y. Chung. Bioinformatics, 28 (13): 1790-1792 (2012)Hybrid SVM Kernels for Protein Secondary Structure Prediction.G. Altun, H. Hu, D. Brinza, R. Harrison, A. Zelikovsky, and Y. Pan. GrC, page 762-765. IEEE, (2006)Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary Classifier.H. Hu, P. Tai, R. Harrison, J. He, and Y. Pan. CSB Workshops, page 213-214. IEEE Computer Society, (2005)A Feature Selection Algorithm Based on Graph Theory and Random Forests for Protein Secondary Structure Prediction.G. Altun, H. Hu, S. Gremalschi, R. Harrison, and Y. Pan. ISBRA, volume 4463 of Lecture Notes in Computer Science, page 590-600. Springer, (2007)Rule Extraction from SVM for Protein Structure Prediction.J. He, H. Hu, B. Chen, P. Tai, R. Harrison, and Y. Pan. Rule Extraction from Support Vector Machines, volume 80 of Studies in Computational Intelligence, Springer, (2008)Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining.H. Hu, H. Wang, R. Harrison, P. Tai, and Y. Pan. CIBCB, page 418-425. IEEE, (2007)Transmembrane segments prediction with support vector machine based on high performance encoding schemes.H. Hu, R. Harrison, P. Tai, and Y. Pan. CIBCB, page 134-139. IEEE, (2004)