Introduction to statistical pattern recognition (2nd ed.)
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- Data clustering→Introduction to statistical pattern recognition (2nd ed.)Legacy edge — source detail unavailable
- The use of the area under the ROC curve in the evaluation of machine learning algorithms→Introduction to statistical pattern recognition (2nd ed.)Legacy edge — source detail unavailable
- An introduction to kernel-based learning algorithms→Introduction to statistical pattern recognition (2nd ed.)Legacy edge — source detail unavailable
- An introduction to multisensor data fusion→Introduction to statistical pattern recognition (2nd ed.)Legacy edge — source detail unavailable
- Exploratory Undersampling for Class-Imbalance Learning→Introduction to statistical pattern recognition (2nd ed.)Legacy edge — source detail unavailable
- Locally Weighted Learning→Introduction to statistical pattern recognition (2nd ed.)Legacy edge — source detail unavailable
- Generalized Discriminant Analysis Using a Kernel Approach→Introduction to statistical pattern recognition (2nd ed.)Legacy edge — source detail unavailable
- Generalized Discriminant Analysis Using a Kernel Approach→An introduction to kernel-based learning algorithmsLegacy edge — source detail unavailable
- Exploratory Undersampling for Class-Imbalance Learning→The use of the area under the ROC curve in the evaluation of machine learning algorithmsLegacy edge — source detail unavailable
- An introduction to kernel-based learning algorithms→Generalized Discriminant Analysis Using a Kernel ApproachLegacy edge — source detail unavailable
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| Neural Networks and Applications | Computer Science |
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