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Neurocomputing, ISSN 0925-2312, 04/2012, Volume 81, pp. 86 - 96
In this paper, we propose a sequential learning algorithm for a neural network classifier based on human meta-cognitive learning principles. The network,... 
Meta-cognitive learning | Multi-category classification problem | Radial basis function network | Self-regulatory thresholds | Sequential learning | ALGORITHM | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Acoustic emission testing | Algorithms | Data mining | Neural networks | Analysis
Journal Article
Applied Soft Computing Journal, ISSN 1568-4946, 01/2013, Volume 13, Issue 1, pp. 654 - 666
► Meta-cognitive learning to emulate human learning components such as what-to-learn, when-to-learn and how-to-learn from sequence of training data. ► Sample... 
Projection Based Learning | Meta-cognitive learning | Radial basis function network | Multi-category classification | Self-regulatory thresholds | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | NEURAL-NETWORK | MACHINE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PREDICTION | Data mining | Neural networks | Algorithms
Journal Article
Information Sciences, ISSN 0020-0255, 2008, Volume 178, Issue 12, pp. 2621 - 2638
Journal Article
Engineering Applications of Artificial Intelligence, ISSN 0952-1976, 2010, Volume 23, Issue 7, pp. 1149 - 1157
Journal Article
Neural Processing Letters, ISSN 1370-4621, 2/2018, Volume 47, Issue 1, pp. 293 - 323
Journal Article
Applied Soft Computing Journal, ISSN 1568-4946, 01/2019, Volume 74, pp. 424 - 439
In this paper, we propose a semi-supervised classifier termed as Fast Laplacian Twin Support Vector Machine ( ) with an objective to reduce the requirement of... 
Content based image retrieval | Activity recognition | Laplacian twin support vector machine | Semi-supervised learning | Active learning | Multi-category classification | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | COLOR | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Neurocomputing, ISSN 0925-2312, 10/2015, Volume 165, pp. 444 - 455
In this paper, we propose Ternary Decision Structure based multi-category twin support vector machines (TDS-TWSVM) classifier. Twin support vector machines... 
Cross validation | Multi-category image classification and retrieval | Ternary decision structure | Twin support vector machines | Machine learning | PATTERN | SUPPORT VECTOR MACHINE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Analysis | Algorithms
Journal Article
Knowledge-Based Systems, ISSN 0950-7051, 01/2018, Volume 139, pp. 64 - 77
In this paper, a novel angle-based twin parametric-margin support vector machine (ATP-SVM) is proposed, which can efficiently handle heteroscedastic noise.... 
Image segmentation | Nonparallel hyperplanes classifiers | Twin parametric-margin support vector machines | Single optimization problem | Multi-category classification | RETRIEVAL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Image processing | Analysis
Journal Article
Neurocomputing, ISSN 0925-2312, 05/2017, Volume 238, pp. 296 - 306
In this paper, we propose ‘divide-and-conquer approach for multi-category semi-supervised’ (DAC-MSS) classification and a novel semi-supervised binary... 
Semi-supervised classification | Nonparallel classifiers | Multi-category | Divide and conquer | Localized kernel spectral clustering | SUPPORT VECTOR MACHINES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Algorithms | Image processing | Analysis
Journal Article
International Journal of Wavelets, Multiresolution and Information Processing, ISSN 0219-6913, 03/2016, Volume 14, Issue 2
In this paper, we propose a novel semi-supervised multi-category classification method based on one-dimensional (1D) multi-embedding. Based on the multiple 1D... 
1D embedding | Multi-category classification | semi-supervised learning | COMPUTER SCIENCE, SOFTWARE ENGINEERING | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | RECOGNITION
Journal Article
Neurocomputing, ISSN 0925-2312, 04/2016, Volume 187, pp. 119 - 125
In this paper, an enhanced M-ary SVM algorithm in combination with error correction coding method is presented for multi-category classification. The main... 
M-ary SVM | Error correcting code | Minimum code distance | Multi-category classification | Error-correcting codes | Control systems | Algorithms | Support vector machines | Kilns | Categories | Classification | Error detection | Error correction | Standards
Journal Article
Neurocomputing, ISSN 0925-2312, 08/2013, Volume 113, pp. 27 - 35
In this paper, we study the parameter setting for a set of intelligent multi-category classifiers in wall-following robot navigation. Based on the swarm... 
Multi-category classification | Particle swarm optimization | Wall-following robot navigation | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Robotics industry | Mathematical optimization | Analysis | Robots
Journal Article
Neurocomputing, ISSN 0925-2312, 01/2016, Volume 173, pp. 1885 - 1897
In this paper, we propose two approaches to obtain accurate classifiers for dealing with multi-category classification problem. Our work is based on one-vs-all... 
Multi-category classification | Genetic programming | Discriminant functions | One-vs-all strategy | Ant colony system | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | GENETIC ALGORITHM | CLASSIFIERS | Electrical engineering | Algorithms | Analysis | Methods
Journal Article
Annals of Biomedical Engineering, ISSN 0090-6964, 6/2007, Volume 35, Issue 6, pp. 1095 - 1109
Journal Article
Australian & New Zealand Journal of Statistics, ISSN 1369-1473, 03/2011, Volume 53, Issue 1, pp. 63 - 78
Journal Article
WSEAS Transactions on Computers, ISSN 1109-2750, 01/2013, Volume 12, Issue 1, pp. 18 - 27
Journal Article
Proceedings of SPIE, ISSN 0277-786X, 01/2012, Volume 8349, Issue 1, pp. 83493L - 83493L-6
Support vector machine (SVM) was initially used for binary classification. How to generalize the result of two-class classification to multi-class... 
information entropy | multi-category classification | Support Vector Machine | Chinese question classification | weight calculation | feature selection
Conference Proceeding
International Journal Bioautomation, ISSN 1314-1902, 2013, Volume 17, Issue 4, pp. 249 - 258
Microarray technology allows molecular classification of tumors and identification of tumor markers, and it has been used widely in the field of cancer... 
Hybrid model | Gene selection | Genetic algorithm | Multi-category tumor classification | Microarray data
Journal Article
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