Search Results

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

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

Automated facial expression recognition - an integrated approach with optical flow analysis and Support Vector Machines

Authors: Surendran, Nanda; Xie, Shane

Source: International Journal of Intelligent Systems Technologies and Applications, Volume 7, Number 3, 15 July 2009 , pp. 316-346(31)

Publisher: Inderscience Publishers

Virtual Screening with Support Vector Machines and Structure Kernels

Authors: Mahe, Pierre; Vert, Jean-Philippe

Source: Combinatorial Chemistry & High Throughput Screening, Volume 12, Number 4, May 2009 , pp. 409-423(15)

Publisher: Bentham Science Publishers

Using pseudo amino acid composition to predict protein subcellular location: approached with amino acid composition distribution

Authors: Shi, J.-Y.; Zhang, S.-W.; Pan, Q.; Zhou, G.-P.

Source: Amino Acids, Volume 35, Number 2, August 2008 , pp. 321-327(7)

Publisher: Springer

Proteometric modelling of protein conformational stability using amino acid sequence autocorrelation vectors and genetic algorithm-optimised support vector machines

Authors: Fernandez, Michael; Fernandez, Leyden; Sanchez, Pedro; Caballero, Julio; Abreu, Jose Ignacio

Source: Molecular Simulation, Volume 34, Number 9, August 2008 , pp. 857-872(16)

Publisher: Taylor and Francis Ltd

Computer-aided diagnosis using morphological features for classifying breast lesions on ultrasound

Authors: Huang, Y.-L.; Chen, D.-R.; Jiang, Y.-R.; Kuo, S.-J.; Wu, H.-K.; Moon, W. K.

Source: Ultrasound in Obstetrics and Gynecology, Volume 32, Number 4, September 2008 , pp. 565-572(8)

Publisher: John Wiley & Sons, Ltd.

Improving Protein-Protein Interaction Prediction Based on Phylogenetic Information Using a Least-Squares Support Vector Machine

Authors: CRAIG, ROGER A.; LIAO, LI

Source: Annals of the New York Academy of Sciences, Volume 1115, Number 1, December 2007 , pp. 154-167(14)

Publisher: Blackwell Publishing

Action recognition and understanding through motor primitives

Authors: Vicente, Isabel Serrano; Kyrki, Ville; Kragic, Danica; Larsson, Martin

Source: Advanced Robotics, Volume 21, Number 15, 2007 , pp. 1687-1707(21)

Publisher: VSP, an imprint of Brill

Sparse least squares support vector training in the reduced empirical feature space

Author: Abe, Shigeo

Source: Pattern Analysis and Applications (PAA), Volume 10, Number 3, August 2007 , pp. 203-214(12)

Publisher: Springer

Prediction of protein subcellular localization by support vector machines using multi-scale energy and pseudo amino acid composition

Authors: Shi, J.-Y.; Zhang, S.-W.; Pan, Q.; Cheng, Y.-M.; Xie, J.

Source: Amino Acids, Volume 33, Number 1, July 2007 , pp. 69-74(6)

Publisher: Springer

Real-time classification of variable length multi-attribute motions

Authors: Li, Chuanjun; Khan, Latifur; Prabhakaran, Balakrishnan

Source: Knowledge and Information Systems, Volume 10, Number 2, August 2006 , pp. 163-183(21)

Publisher: Springer

Fixed-size Least Squares Support Vector Machines: A Large Scale Application in Electrical Load Forecasting

Authors: Espinoza, Marcelo; Suykens, Johan; Moor, Bart

Source: Computational Management Science, Volume 3, Number 2, April 2006 , pp. 113-129(17)

Publisher: Springer

Rule-Based Learning Systems for Support Vector Machines

Authors: Núñez, Haydemar; Angulo, Cecilio; Català, Andreu

Source: Neural Processing Letters, Volume 24, Number 1, August 2006 , pp. 1-18(18)

Publisher: Springer

Using discriminant analysis for multi-class classification: an experimental investigation

Authors: Li, Tao; Zhu, Shenghuo; Ogihara, Mitsunori

Source: Knowledge and Information Systems, Volume 10, Number 4, November 2006 , pp. 453-472(20)

Publisher: Springer

Linearly constrained reconstruction of functions by kernels with applications to machine learning

Authors: Schaback, R.; Werner, J.

Source: Advances in Computational Mathematics, Volume 25, Numbers 1-3, July 2006 , pp. 237-258(22)

Publisher: Springer

Moment Kernels for Regular Distributions

Authors: Cortes, Corinna; Mohri, Mehryar

Source: Machine Learning, Volume 60, Numbers 1-3, September 2005 , pp. 117-134(18)

Publisher: Springer

Support vector machines based on K-means clustering for real-time business intelligence systems

Authors: Wang, Jiaqi; Wu, Xindong; Zhang, Chengqi

Source: International Journal of Business Intelligence and Data Mining, Volume 1, Number 1, 5 July 2005 , pp. 54-64(11)

Publisher: Inderscience Publishers

Logistic support vector machines and their application to gene expression data

Authors: Liu, Zhenqiu; Chen, Dechang; Xu, Ying; Liu, Jian

Source: International Journal of Bioinformatics Research and Applications, Volume 1, Number 2, 6 August 2005 , pp. 169-182(14)

Publisher: Inderscience Publishers

Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing

Authors: Yu, Hwanjo; Yang, Jiong; Han, Jiawei; Li, Xiaolei

Source: Data Mining and Knowledge Discovery, Volume 11, Number 3, November 2005 , pp. 295-321(27)

Publisher: Springer