Least Squares Support Vector Machine Classifiers
Johan A. K. Suykens, Joos Vandewalle
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Citation edge evidence
- Extreme Learning Machine for Regression and Multiclass Classification→Least Squares Support Vector Machine ClassifiersLegacy edge — source detail unavailable
- Quantum Support Vector Machine for Big Data Classification→Least Squares Support Vector Machine ClassifiersLegacy edge — source detail unavailable
- Extreme learning machines: a survey→Least Squares Support Vector Machine ClassifiersLegacy edge — source detail unavailable
- Trends in extreme learning machines: A review→Least Squares Support Vector Machine ClassifiersLegacy edge — source detail unavailable
- Least Squares Support Vector Machine Classifiers→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- Least Squares Support Vector Machine Classifiers→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- Least Squares Support Vector Machine Classifiers→Statistical Learning TheoryLegacy edge — source detail unavailable
- Least Squares Support Vector Machine Classifiers→Neural networks for pattern recognitionLegacy edge — source detail unavailable
- Least Squares Support Vector Machine Classifiers→Neural Networks for Pattern RecognitionLegacy edge — source detail unavailable
- Least Squares Support Vector Machine Classifiers→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- Least Squares Support Vector Machine Classifiers→Neural networks: A comprehensive foundationLegacy edge — source detail unavailable
- Least Squares Support Vector Machine Classifiers→Introduction to artificial neural systemsLegacy edge — source detail unavailable
- Least Squares Support Vector Machine Classifiers→Comparing support vector machines with Gaussian kernels to radial basis function classifi…Legacy edge — source detail unavailable
- Extreme learning machines: a survey→Statistical Learning TheoryLegacy edge — source detail unavailable
- Extreme Learning Machine for Regression and Multiclass Classification→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- Comparing support vector machines with Gaussian kernels to radial basis function classifi…→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- Trends in extreme learning machines: A review→Extreme learning machines: a surveyLegacy edge — source detail unavailable
- Trends in extreme learning machines: A review→Extreme Learning Machine for Regression and Multiclass ClassificationLegacy edge — source detail unavailable
- Trends in extreme learning machines: A review→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- Trends in extreme learning machines: A review→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- Statistical Learning Theory→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| The Nature of Statistical Learning Theory | 1995 | 39,409 |
| Neural Networks: A Comprehensive Foundation | 1998 | 29,840 |
| Statistical Learning Theory | 1999 | 26,957 |
| Neural networks for pattern recognition | 1994 | 18,720 |
| Neural Networks for Pattern Recognition | 1995 | 12,273 |
| The Nature of Statistical Learning Theory | 2000 | 10,734 |
| Neural networks: A comprehensive foundation | 1995 | 7,270 |
| Introduction to artificial neural systems | 1992 | 2,289 |
| Comparing support vector machines with Gaussian kernels to radial basis function classifi… | 1997 | 1,414 |
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Topics
| Neural Networks and Applications | Computer Science |
| Face and Expression Recognition | Computer Science |
| Fuzzy Logic and Control Systems | Computer Science |
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