Search Results

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

Adaptive and iterative least squares support vector regression based on quadratic Renyi entropy

Authors: Jiang, Jingqing; Song, Chuyi; Zhao, Haiyan; Wu, Chunguo; Liang, Yanchun

Source: International Journal of Granular Computing, Rough Sets and Intelligent Systems, Volume 1, Number 3, 30 November 2009 , pp. 221-232(12)

Publisher: Inderscience Publishers

Robust Prediction of B-Factor Profile from Sequence Using Two-Stage SVR Based on Random Forest Feature Selection

Authors: Pan, Xiao-Yong; Shen, Hong-Bin

Source: Protein and Peptide Letters, Volume 16, Number 12, December 2009 , pp. 1447-1454(8)

Publisher: Bentham Science Publishers

Model Learning with Local Gaussian Process Regression

Authors: Nguyen-Tuong, Duy; Seeger, Matthias; Peters, Jan

Source: Advanced Robotics, Volume 23, Number 15, 2009 , pp. 2015-2034(20)

Publisher: VSP, an imprint of Brill

Forecasting respiratory motion with accurate online support vector regression (SVRpred)

Authors: Ernst, Floris; Schweikard, Achim

Source: International Journal of Computer Assisted Radiology and Surgery, Volume 4, Number 5, September 2009 , pp. 439-447(9)

Publisher: Springer

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

QSAR studies on 4-anilino-3-quinolinecarbonitriles as Src kinase inhibitors using robust PCA and both linear and nonlinear models

Authors: Sun, Min; Zheng, Youguang; Wei, Hongtao; Chen, Junqing; Ji, Min

Source: Journal of Enzyme Inhibition and Medicinal Chemistry, Volume 24, Number 5, October 2009 , pp. 1109-1116(8)

Publisher: Informa Healthcare

Geographic body size gradients in tropical regions: water deficit and anuran body size in the Brazilian Cerrado

Authors: Olalla-Tárraga, Miguel Á.; Diniz-Filho, José Alexandre F.; Bastos, Rogério P.; Rodríguez, Miguel Á.

Source: Ecography, Volume 32, Number 4, August 2009 , pp. 581-590(10)

Publisher: Blackwell Publishing

Identification of condition-specific regulatory modules through multi-level motif and mRNA expression analysis

Authors: Chen, Li; Xuan, Jianhua; Wang, Yue; Hoffman, Eric P.; Riggins, Rebecca B.; Clarke, Robert

Source: International Journal of Computational Biology and Drug Design, Volume 2, Number 1, 2 August 2009 , pp. 1-20(20)

Publisher: Inderscience Publishers

In Silico Log P Prediction for a Large Data Set with Support Vector Machines, Radial Basis Neural Networks and Multiple Linear Regression

Author: Chen, Hai-Feng

Source: Chemical Biology & Drug Design, Volume 74, Number 2, August 2009 , pp. 142-147(6)

Publisher: Blackwell Publishing

Improving target detection by coupling it with tracking

Authors: Wang, Junxian; Bebis, George; Nicolescu, Mircea; Nicolescu, Monica; Miller, Ronald

Source: Machine Vision and Applications, Volume 20, Number 4, June 2009 , pp. 205-223(19)

Publisher: Springer

Comparative analysis of regression and machine learning methods for predicting fault proneness models

Authors: Singh, Yogesh; Kaur, Arvinder; Malhotra, Ruchika

Source: International Journal of Computer Applications in Technology, Volume 35, Numbers 2-3, 20 June 2009 , pp. 183-193(11)

Publisher: Inderscience Publishers

Quantitative Structure-Retention Relationship Models for the Prediction of the Reversed-Phase HPLC Gradient Retention Based on the Heuristic Method and Support Vector Machine

Authors: Du, Hongying; Wang, Jie; Yao, Xiaojun; Hu, Zhide

Source: Journal of Chromatographic Science, Volume 47, Number 5, May/June 2009 , pp. 396-404(9)

Publisher: Preston Publications

Day-ahead Price Forecasting in Ontario Electricity Market Using Variable-segmented Support Vector Machine-based Model

Authors: Aggarwal, S. K.; Saini, L. M.; Kumar, Ashwani

Source: Electric Power Components and Systems, Volume 37, Number 5, May 2009 , pp. 495-516(22)

Publisher: Taylor and Francis Ltd

Editorial [Hot Topic: Machine Learning for Virtual Screening (Part 2) (Guest Editor: Ovidiu Ivanciuc)]

Author: Ivanciuc, Ovidiu

Source: Combinatorial Chemistry & High Throughput Screening, Volume 12, Number 5, June 2009 , pp. 451-452(2)

Publisher: Bentham Science Publishers

How Wrong Can We Get? A Review of Machine Learning Approaches and Error Bars

Authors: Schwaighofer, Anton; Schroeter, Timon; Mika, Sebastian; Blanchard, Gilles

Source: Combinatorial Chemistry & High Throughput Screening, Volume 12, Number 5, June 2009 , pp. 453-468(16)

Publisher: Bentham Science Publishers

The Applications of Machine Learning Algorithms in the Modeling of Estrogen-Like Chemicals

Authors: Liu, Huanxiang; Yao, Xiaojun; Gramatica, Paola

Source: Combinatorial Chemistry & High Throughput Screening, Volume 12, Number 5, June 2009 , pp. 490-496(7)

Publisher: Bentham Science Publishers

Editorial [Hot Topic: Machine Learning for Virtual Screening (Part 1) (Guest Editor: Ovidiu Ivanciuc)]

Author: Ivanciuc, Ovidiu

Source: Combinatorial Chemistry & High Throughput Screening, Volume 12, Number 4, May 2009 , pp. 330-331(2)

Publisher: Bentham Science Publishers

Machine Learning in Virtual Screening

Authors: Melville, James L.; Burke, Edmund K.; Hirst, Jonathan D.

Source: Combinatorial Chemistry & High Throughput Screening, Volume 12, Number 4, May 2009 , pp. 332-343(12)

Publisher: Bentham Science 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