TANGLE: Two-Level Support Vector Regression Approach for Protein Backbone Torsion Angle Prediction from Primary Sequences

Torsion Angle ◽

Support Vector ◽

Protein Backbone ◽

Regression Approach ◽

Backbone Torsion Angle

A Support Vector Regression Approach for Recursive vskip0.2 baselineskip Simultaneous Data Reconciliation and Gross ErrorDetection in Nonlinear Dynamical Systems

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2009.00707 ◽

2009 ◽

Vol 35 (6) ◽

pp. 707-716 ◽

Cited By ~ 3

Author(s):

Yu MIAO ◽

Hong-Ye SU ◽

Jian CHU

Keyword(s):

Dynamical Systems ◽

Nonlinear Dynamical Systems ◽

Data Reconciliation ◽

Support Vector ◽

Nonlinear Dynamical ◽

Options Pricing Via Statistical Learning Techniques: The Support Vector Regression Approach

SSRN Electronic Journal ◽

10.2139/ssrn.1145329 ◽

2008 ◽

Author(s):

Panayiotis C. Andreou ◽

Christakis Charalambous ◽

Spiros Spiridon Martzoukos

Keyword(s):

Statistical Learning ◽

Options Pricing ◽

Support Vector ◽

Learning Techniques ◽

Regression Approach ◽

Statistical Learning Techniques

ANGLOR: A Composite Machine-Learning Algorithm for Protein Backbone Torsion Angle Prediction

PLoS ONE ◽

10.1371/journal.pone.0003400 ◽

2008 ◽

Vol 3 (10) ◽

pp. e3400 ◽

Cited By ~ 45

Author(s):

Sitao Wu ◽

Yang Zhang

Keyword(s):

Machine Learning ◽

Torsion Angle ◽

Learning Algorithm ◽

Machine Learning Algorithm ◽

Protein Backbone ◽

Backbone Torsion Angle

Robust blind identification of SIMO channels: a support vector regression approach

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.2004.1327200 ◽

2004 ◽

Cited By ~ 6

Author(s):

I. Santamaria ◽

J. Via ◽

C.C. Gaudes

Keyword(s):

Support Vector ◽

Blind Identification ◽

Protein Backbone Torsion Angle-Based Structure Comparison and Secondary Structure Database Web Server

Genomics & Informatics ◽

10.5808/gi.2013.11.3.155 ◽

2013 ◽

Vol 11 (3) ◽

pp. 155 ◽

Cited By ~ 1

Author(s):

Sunghoon Jung ◽

Se-Eun Bae ◽

Insung Ahn ◽

Hyeon S. Son

Keyword(s):

Secondary Structure ◽

Torsion Angle ◽

Web Server ◽

Protein Backbone ◽

Structure Comparison ◽

Structure Database ◽

Backbone Torsion Angle

A novel online adaptive kernel method with kernel centers determined by a support vector regression approach

Neurocomputing ◽

10.1016/j.neucom.2013.07.023 ◽

2014 ◽

Vol 124 ◽

pp. 111-119 ◽

Cited By ~ 8

Author(s):

L.G. Sun ◽

C.C. de Visser ◽

Q.P. Chu ◽

J.A. Mulder

Keyword(s):

Kernel Method ◽

Support Vector ◽

Regression Approach ◽

Adaptive Kernel

Multipoint hoop strain measurement based pipeline leakage localization with an optimized support vector regression approach

Journal of Loss Prevention in the Process Industries ◽

10.1016/j.jlp.2019.103926 ◽

2019 ◽

Vol 62 ◽

pp. 103926 ◽

Cited By ~ 5

Author(s):

Ziguang Jia ◽

Siu-Chun Ho ◽

Yang Li ◽

Bo Kong ◽

Qingmin Hou

Keyword(s):

Strain Measurement ◽

Support Vector ◽

Hoop Strain ◽

Support Vector Regression Approach to Predict the Strength of FRP Confined Concrete

Arabian Journal for Science and Engineering ◽

10.1007/s13369-016-2340-y ◽

2016 ◽

Vol 42 (3) ◽

pp. 1129-1146 ◽

Cited By ~ 10

Author(s):

Ruhul Amin Mozumder ◽

Biswajit Roy ◽

Aminul Islam Laskar

Keyword(s):

Confined Concrete ◽

Support Vector ◽

Black box modeling of PIDs implemented in PLCs without structural information: a support vector regression approach

Neural Computing and Applications ◽

10.1007/s00521-014-1754-2 ◽

2014 ◽

Vol 26 (3) ◽

pp. 723-734 ◽

Cited By ~ 7

Author(s):

Robert Salat ◽

Michal Awtoniuk

Keyword(s):

Structural Information ◽

Black Box ◽

Support Vector ◽

Daily natural gas consumption forecasting based on a structure-calibrated support vector regression approach

Energy and Buildings ◽

10.1016/j.enbuild.2016.06.020 ◽

2016 ◽

Vol 127 ◽

pp. 571-579 ◽

Cited By ~ 30

Author(s):

Yun Bai ◽

Chuan Li

Keyword(s):

Natural Gas ◽

Support Vector ◽

Regression Approach ◽

Gas Consumption ◽

Natural Gas Consumption