Search Results

Application of Support Vector Machine (SVM) and Proximal Support Vector Machine (PSVM) for fault classification of monoblock centrifugal pump

Authors: Sakthivel, N.R.; Sugumaran, V.; Nair, Binoy B.

Source: International Journal of Data Analysis Techniques and Strategies, Volume 2, Number 1, 3 December 2009 , pp. 38-61(24)

Publisher: Inderscience Publishers

Shrinkage-based Diagonal Discriminant Analysis and Its Applications in High-Dimensional Data

Authors: Pang, Herbert; Tong, Tiejun; Zhao, Hongyu

Source: Biometrics, Volume 65, Number 4, December 2009 , pp. 1021-1029(9)

Publisher: Blackwell Publishing

Machine Learning Quantitative Structure-Activity Relationships (QSAR) for Peptides Binding to the Human Amphiphysin-1 SH3 Domain

Author: Ivanciuc, Ovidiu

Source: Current Proteomics, Volume 6, Number 4, December 2009 , pp. 289-302(14)

Publisher: Bentham Science Publishers

Variable Selection for Support Vector Machines

Authors: Bierman, Surette; Steel, Sarel

Source: Communications in Statistics: Simulation and Computation, Volume 38, Number 8, September 2009 , pp. 1640-1658(19)

Publisher: Taylor and Francis Ltd

Discovering rules for proteinligand specificity using support vector inductive logic programming

Authors: Kelley, Lawrence A.; Shrimpton, Paul J.; Muggleton, Stephen H.; Sternberg, Michael J.E.

Source: Protein Engineering, Design and Selection, Volume 22, Number 9, 2 September 2009 , pp. 561-567(7)

Publisher: Oxford University Press

Extraction of skin lesion texture features based on independent component analysis

Authors: Tabatabaie, Kaveh; Esteki, Ali; Toossi, Parviz

Source: Skin Research and Technology, Volume 15, Number 4, November 2009 , pp. 433-439(7)

Publisher: Blackwell Publishing

Two-stage gene selection for support vector machine classification of microarray data

Authors: Xia, Xiao-Lei; Li, Kang; Irwin, George W.

Source: International Journal of Modelling, Identification and Control, Volume 8, Number 2, 27 October 2009 , pp. 164-171(8)

Publisher: Inderscience Publishers

Novel kernels for error-tolerant graph classification

Authors: Neuhaus, Michel; Riesen, Kaspar; Bunke, Horst

Source: Spatial Vision, Volume 22, Number 5, 2009 , pp. 425-441(17)

Publisher: VSP, an imprint of Brill

Distance metric learning and support vector machines for classification of mass spectrometry proteomics data

Authors: Liu, Qingzhong; Qiao, Mengyu; Sung, Andrew H.

Source: International Journal of Knowledge Engineering and Soft Data Paradigms, Volume 1, Number 3, 3 October 2009 , pp. 216-226(11)

Publisher: Inderscience Publishers

Error bounds of decision templates and support vector machines in decision fusion

Authors: Dimou, Ioannis N.; Zervakis, Michalis E.

Source: International Journal of Knowledge Engineering and Soft Data Paradigms, Volume 1, Number 3, 3 October 2009 , pp. 227-238(12)

Publisher: Inderscience Publishers

Proteomic Diagnosis Models from Serum for Early Detection of Oral Squamous Cell Carcinoma

Authors: Sun, Gang; He, Hong; Ping, Feiyun; Zhang, Feifei

Source: Artificial Cells, Blood Substitutes, and Biotechnology (formerly known as Artif, Volume 37, Number 3, April 2009 , pp. 125-129(5)

Publisher: Taylor and Francis Ltd

A knowledge-based analysis tool to assess the THMs pollutant total exposure index and cumulative risk

Authors: Megri, Ahmed Chérif; El Naqa, Issam; Moschandreas, Demetrios; Ari, Halil

Source: Intelligent Buildings International, Volume 1, Number 2, 2009 , pp. 122-130(9)

Publisher: Earthscan

New potential biomarkers in the diagnosis of esophageal squamous cell carcinoma

Authors: Xu, Shu-Yong; Liu, Zan; Ma, Wen-Jing; Sheyhidin, Ilyar; Zheng, Shu-Tao; Lu, Xiao-Mei

Source: Biomarkers, Volume 14, Number 5, August 2009 , pp. 340-346(7)

Publisher: Informa Healthcare

Improved Prediction of Lysine Acetylation by Support Vector Machines

Authors: Li, Songling; Li, Hong; Li, Mingfa; Shyr, Yu; Xie, Lu; Li, Yixue

Source: Protein and Peptide Letters, Volume 16, Number 8, August 2009 , pp. 977-983(7)

Publisher: Bentham Science Publishers

Multiclass primal Support Vector Machines for breast density classification

Authors: Jr., Walker H. Land; Verheggen, Elizabeth A.

Source: International Journal of Computational Biology and Drug Design, Volume 2, Number 1, 2 August 2009 , pp. 21-57(37)

Publisher: Inderscience Publishers

Parametric Identification of Ship Maneuvering Models by Using Support Vector Machines

Authors: Luo, W.L.; Zou, Z.J.

Source: Journal of Ship Research, Volume 53, Number 1, March 2009 , pp. 19-30(12)

Publisher: Society of Naval Architects and Marine Engineers (SNAME)

KIRMES: kernel-based identification of regulatory modules in euchromatic sequences

Authors: Schultheiss, Sebastian J.; Busch, Wolfgang; Lohmann, Jan U.; Kohlbacher, Oliver; Rtsch, Gunnar

Source: Bioinformatics, Volume 25, Number 16, 15 August 2009 , pp. 2126-2133(8)

Publisher: Oxford University Press

Improving the Classification of Nuclear Receptors with Feature Selection

Authors: Gao, Qing-Bin; Jin, Zhi-Chao; Ye, Xiao-Fei; Wu, Cheng; Lu, Jian; He, Jia

Source: Protein and Peptide Letters, Volume 16, Number 7, July 2009 , pp. 823-829(7)

Publisher: Bentham Science Publishers

A two-stage classification procedure for near-infrared spectra based on multi-scale vertical energy wavelet thresholding and SVM-based gradient-recursive feature elimination

Authors: Cho, H-W; Baek, S H; Youn, E; Jeong, M K; Taylor, A

Source: Journal of the Operational Research Society, Volume 60, Number 8, 29 August 2009 , pp. 1107-1115(9)

Publisher: Palgrave Macmillan

Support vector machine learning with an evolutionary engine

Authors: Stoean, R; Preuss, M; Stoean, C; El-Darzi, E; Dumitrescu, D

Source: Journal of the Operational Research Society, Volume 60, Number 8, 29 August 2009 , pp. 1116-1122(7)

Publisher: Palgrave Macmillan