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1. Full Text Efficient feature selection method using real-valued grasshopper optimization algorithm
by Zakeri, Arezoo and Hokmabadi, Alireza
Expert Systems With Applications, ISSN 0957-4174, 04/2019, Volume 119, pp. 61 - 72
Feature selection is the problem of finding the minimum number of features among a redundant feature space which leads to the maximum classification... 
Feature selection | Grasshopper optimization algorithm | Pattern recognition | Meta-heuristic algorithms | PARTICLE SWARM OPTIMIZATION | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | INFORMATION | ANT COLONY OPTIMIZATION | CLASSIFICATION | ACO | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Optimization algorithms | Feature extraction | Mathematical models | Iterative methods | Optimization | Grasshoppers
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2. Full Text Design and Application of a Variable Selection Method for Multilayer Perceptron Neural Network With LASSO
by Kai Sun and Shao-Hsuan Huang and Shan-Hill Wong, David and Shi-Shang Jang
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 06/2017, Volume 28, Issue 6, pp. 1386 - 1396
In this paper, a novel variable selection method for neural network that can be applied to describe nonlinear industrial processes is developed. The proposed... 
Crude distillation unit (CDU) | Input variables | Computational modeling | Neurons | least absolute shrinkage and selection operator (LASSO) | inferential modeling | Predictive models | variable selection | Sun | neural network | Biological neural networks | REGRESSION | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | TIME | ORACLE PROPERTIES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | SOFT SENSORS | SHRINKAGE | COMPUTER SCIENCE, THEORY & METHODS | Distillation | Algorithms | Computer simulation | Neural networks | Multilayer perceptrons | Data processing | Industrial applications | Mathematical models | Shrinkage | Iterative methods | Model accuracy
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3. Full Text A novel grid selection method for sky-wave time difference of arrival localisation
by Zhang, Tie-Nan and Mao, Xing-Peng and Zhao, Chun-Lei and Liu, Jian-Xin
IET Radar, Sonar & Navigation, ISSN 1751-8784, 4/2019, Volume 13, Issue 4, pp. 538 - 549
This paper studies sky-wave time-difference-of-arrival (TDOA) localisation in passive-radar systems, and the focus is on two-dimensional localisation on the... 
Research Article | iterative methods | time-of-arrival estimation | wireless sensor networks | localisation problem | ENM | two-dimensional localisation | SPARSE | direction-of-arrival estimation | mobile robots | inaccurately known ionosphere layer heights | passive-radar systems | offline test phase | ESTIMATOR | parametric methods | ellipsoid-norm method | radar signal processing | passive radar | optimisation | APPROXIMATE | given grid map | conventional grid-based methods | sky-wave time difference | grid densities | paper studies sky-wave time-difference-of-arrival localisation | search phase | path planning | TELECOMMUNICATIONS | NGP selection | noise-free measurements | ENGINEERING, ELECTRICAL & ELECTRONIC | different sensor networks | grid selection method | computational complexity
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4. Full Text Newton-Type Greedy Selection Methods for ell0-Constrained Minimization
by Xiao-Tong Yuan and Qingshan Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 12/2017, Volume 39, Issue 12, p. 2437
Linear programming | Usage | Algorithms | Mathematical optimization | Iterative methods (Mathematics)
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5. Automatic variable selection method and a comparison for quantitative analysis in laser-induced breakdown spectroscopy
by Fajie Duan and Xiao Fu and Jiajia Jiang and Tingting Huang and Ling Ma and Cong Zhang
Spectrochimica Acta. Part B : Atomic Spectroscopy, ISSN 0584-8547, 05/2018, Volume 143, p. 12
In this work, an automatic variable selection method for quantitative analysis of soil samples using laser-induced breakdown spectroscopy (LIBS) is proposed,... 
Spectroscopy | Barium | Methodology | Feasibility studies | Analytical techniques | Genetic algorithms | Variables | Laser induced breakdown | Soils | Soil testing | Computation | Lasers | Soil analysis | Spectrum analysis | Chromium | Mathematical models | Feasibility | Copper | Iterative methods | Detection | Quantitative analysis
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6. Full Text Newton-Type Greedy Selection Methods for \ell 0 -Constrained Minimization
by Yuan, Xiao-Tong and Liu, Qingshan
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 12/2017, Volume 39, Issue 12, pp. 2437 - 2450
We introduce a family of Newton-type greedy selection methods for \ell _0 Sparsity | Signal processing algorithms | Newton methods | M-estimation | greedy selection | Minimization | Linear programming | Iterative methods | Sparse matrices | Optimization | Convergence | Support vector machines | Quadratic equations | State of the art
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7. Full Text User adaptive QoS aware selection method for cooperative heterogeneous wireless systems: A dynamic contextual approach
by Pervaiz, Haris and Ni, Qiang and Zarakovitis, Charilaos C
Future Generation Computer Systems, ISSN 0167-739X, 10/2014, Volume 39, pp. 75 - 87
This paper proposes an adaptive realistic mechanism for joint network and user selection in cooperative wireless network environments. We present a novel... 
Cooperative wireless networks | Iterative method | Heterogeneous networks | QoS | Analytic Hierarchy Process (AHP) | Evolutionary game theory | GAME | NETWORKS | COMPUTER SCIENCE, THEORY & METHODS | BANDWIDTH | Telecommunication systems | Analysis | Methods
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8. Full Text Computerized Seed and Range Selection Method for Flood Extent Extraction in SAR Image Using Iterative Region Growing
by Chakraborty, Arunangshu and Chakraborty, Arunangshu and Chakraborty, Debasish and Chakraborty, Debasish
Journal of the Indian Society of Remote Sensing, ISSN 0255-660X, 4/2019, Volume 47, Issue 4, pp. 563 - 571
This study presents a novel method to capture the flood-affected area in SAR image. It initially locates a pixel in HH-polarized SAR image whose intensity... 
Earth Sciences | Remote Sensing/Photogrammetry | Flood area extraction | Region growing | Seed | Earth Sciences, general | Clustering | Synthetic-aperture radar | ENVIRONMENTAL SCIENCES | REMOTE SENSING | SEGMENTATION | MODEL | MEAN SHIFT | Algorithms | Analysis | Radar systems | Sensors | Floods | Methods | Remote sensing
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9. MODE SELECTION METHOD IN MODAL ITERATIVE ERROR CORRECTION FOR STABILIZATION OF CONVERGENCE
by Takuya SUZUKI
Nihon Kenchiku Gakkai Kozokei Ronbunshu = Journal of Structural and Construction Engineering, ISSN 1340-4202, 01/2019, Volume 84, Issue 756, p. 195
Simulation analysis is an effective method for assessing building safety after an earthquake. This kind of analysis is effective for evaluating foundations or... 
Pile foundations | Divergence | Error correction & detection | Computer simulation | Error correction | Safety | Iterative methods | Methods | Modal choice | Singular value decomposition | Convergence
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10. Mode selection method in modal iterative error correction for stabilization of convergence
by Suzuki, Takuya
Journal of Structural and Construction Engineering, ISSN 1340-4202, 02/2019, Volume 84, Issue 756, pp. 195 - 203
Input motion inversion | Elastoplastic soil model | Modal iterative error correction
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11. Full Text A model selection method based on the adaptive LASSO-penalized GEE and weighted Gaussian pseudo-likelihood BIC in longitudinal robust analysis
by Zhang, Jiamao and Xu, Jianwen
Communications in Statistics - Theory and Methods, ISSN 0361-0926, 12/2018, Volume 47, Issue 23, pp. 5779 - 5794
In this article, a new robust variable selection approach is introduced by combining the robust generalized estimating equations and adaptive LASSO penalty... 
robust variable selection | 6207 | correlation structure selection | Adaptive LASSO | Weighted Gaussian pseudo-likelihood | REGRESSION | GENERALIZED ESTIMATING EQUATIONS | STATISTICS & PROBABILITY | VARIABLE SELECTION | LINEAR-MODELS | WORKING-CORRELATION-STRUCTURE | Penalty function | Parameter estimation | Statistical models | Process parameters | Parameter robustness | Robustness | Iterative methods | Generalized linear models
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12. An efficient mesh deformation method based on radial basis functions and peak-selection method
by Wei, Qi and Li, Chunna and Gu, Liangxian and Gong, Chunlin
Acta Aeronautica et Astronautica Sinica, ISSN 1000-6893, 01/2016, Volume 37, Issue 7, pp. 2156 - 2169
The mesh deformation based on radial basis functions (RBFs) have many advantages, thus it has been widely employed in aerodynamic optimization design as well... 
Finite element method | Radial basis function | Construction | Deformation | Boundaries | Computational efficiency | Computing time | Iterative methods
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13. Full Text Development of an automated region of interest selection method for 3D surface monitoring of head motion
by Kang, H. J and Grelewicz, Z and Wiersma, R. D
Medical Physics, ISSN 0094-2405, 06/2012, Volume 39, Issue 6, pp. 3270 - 3282
Purpose: To simplify the often complex and user-dependent manual region of interest (ROI) selection process for head motion monitoring, an automatic ROI... 
head motion monitoring | real-time imaging | region of interest | 3D surface imaging system | iterative methods | image registration | biomechanics | patient monitoring | Image reconstruction | Digital computing or data processing equipment or methods, specially adapted for specific applications | Surface reconstruction | Registration | Numerical approximation and analysis | medical image processing | Biomedical imaging | Movement | Medical imaging | real‐time imaging | Surface patterning | eye | Image data processing or generation, in general | Data sets | Medical image reconstruction | Cameras | Medical image spatial resolution | Spatial resolution | Artifacts | Automation | Algorithms | Time Factors | Humans | Imaging, Three-Dimensional - methods | Feasibility Studies | Head - physiology | POSITIONING SYSTEM | LOCALIZATION | FEASIBILITY | FRAMELESS STEREOTACTIC RADIOSURGERY | INITIAL CLINICAL-EXPERIENCE | PATIENT SETUP | RADIATION-THERAPY | ACCURACY | IMAGING-SYSTEM | RADIOTHERAPY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
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14. Full Text Iterative selection methods for common fixed point problems
by Hirstoaga, Sever A
Journal of Mathematical Analysis and Applications, ISSN 0022-247X, 2006, Volume 324, Issue 2, pp. 1020 - 1035
Many problems encountered in applied mathematics can be recast as the problem of selecting a particular common fixed point of a countable family of... 
Quasi-nonexpansive operator | Maximal monotone operator | Equilibrium problem | Iterative methods | Fixed point | maximal monotone operator | MATHEMATICS | iterative methods | HILBERT-SPACES | MATHEMATICS, APPLIED | NONEXPANSIVE-MAPPINGS | APPROXIMATION | fixed point | equilibrium problem | CONVERGENCE | quasi-nonexpansive operator | MONOTONE-OPERATORS | Numerical Analysis | Mathematics
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15. Full Text A novel threshold selection method based on iterative clustering strategy
by He, Jin Guo
Applied Mechanics and Materials, ISSN 1660-9336, 2013, Volume 433-435, Issue Advances in Mechatronics and Control Engineering II, pp. 288 - 296
This paper extends our previous algorithm for clustering. This previous algorithm works fine on simulated data. It can acquire satisfactory clustering results... 
Histogram | Iterative | Clustering | Threshold | Computer simulation | Algorithms | Histograms | Thresholds | Images | Strategy | Two dimensional
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16. Full Text Novel coastline detection algorithm based on modified iterative selection method
by Chen, Hong Yu and Shi, Xiao Fei and Feng, Lei and Zhang, Yue Long and Li, Yan Hua
Applied Mechanics and Materials, ISSN 1660-9336, 2014, Volume 602-605, Issue Advanced Manufacturing and Information Engineering, Intelligent Instrumentation and Industry Development, pp. 1864 - 1867
Misjudgment often occurred in low contrast remote sensing images, because most widely used image segmentation algorithms often have a larger threshold. To... 
Image segmentation | Modified iterative selection | Coastline extraction | Algorithms | Thresholds | Images | Coastal environments | Iterative methods | Remote sensing | Optimization
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17. Composite Feature Selection Method based on Spoken Word and Speaker Recognition
by Dipen Nath and Sanjib Kr Kalita
International Journal of Computer Applications, ISSN 0975-8887, 01/2015, Volume 121, Issue 8
  The aim of this paper is to measure the recognition capability of composite features extracted from speech signal and compare the result with other... 
Tasks | Feature recognition | Speech recognition | Feature extraction | Speech | Iterative methods | Strings | Standards
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18. Full Text A test pattern selection method for a joint bounded-distance and encoding-based decoding algorithm of binary codes [Transactions Letters]
by Tokushige, Hitoshi and Fossorier, Marc P C and Kasami, Tadao
IEEE Transactions on Communications, ISSN 0090-6778, 06/2010, Volume 58, Issue 6, pp. 1601 - 1604
For binary linear block codes, this letter deals with a class of decoding algorithms which utilize bounded-distance and encoding-based decodings with input... 
Performance evaluation | Bounded-distance decoding | Chase decoding | AWGN | encoding-based decoding | Binary decision diagrams | Binary phase shift keying | Iterative decoding | ordered statistic decoding | Binary codes | Iterative algorithms | test pattern | Block codes | Modulation coding | Testing | Ordered statistic decoding | Encoding-based decoding | Test pattern | TELECOMMUNICATIONS | ENGINEERING, ELECTRICAL & ELECTRONIC | Coding theory | Signal theory (Telecommunication) | Methods | Innovations
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19. A keyword selection method for mapping technological knowledge in specific sectors through patent data: the case of biofuels sector
by Valeria Costantini and Francesco Crespi and Ylenia Curci
Economics of Innovation and New Technology, ISSN 1043-8599, 05/2015, Volume 24, Issue 4, p. 282
  In this paper, we propose an innovative methodology that aims to solve drawbacks related to how patent data are allocated and organized in international... 
Patents | Decision making models | Biodiesel fuels | Classification | Data base management | Iterative methods | Validation studies
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20. Text feature selection method based on invasive weed optimization
by Liu, Kui and Zhou, Zhu-Rong
Jisuanji Yingyong / Journal of Computer Applications, ISSN 1001-9081, 08/2012, Volume 32, Issue 8, pp. 2245 - 2249
In order to select text feature more comprehensively and improve the accuracy of the text feature selection, a new text feature selection method based on... 
Accuracy | Algorithms | Texts | Mathematical models | Iterative methods | Optimization | Weeds | Convergence
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