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Perceptron Criterion, by P.K. Biswas

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Posed Surface Reconstruction, by Somnath Sengupta

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Practical Consideration in Back Propagation Algorithm, by Somnath Sengupta

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Probability Density Estimation (Contd.), by P.K. Biswas

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Probability Density Estimation (Contd.), by P.K. Biswas

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Probability Density Estimation (Contd.), by P.K. Biswas

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Probability Density Estimation (Contd.), by P.K. Biswas

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Probability Density Estimation, by P.K. Biswas

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Radial Basis Function Networks: Cover’s Theorem, by Somnath Sengupta

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Radial Basis Function Networks: Separability & Interpolation, by Somnath Sengupta

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RBF Neural Network (Contd.), by P.K. Biswas

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RBF Neural Network, by P.K. Biswas

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Reflex Fuzzy Min Max Neural Network, by P.K. Biswas

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Regularization Networks and Generalized RBF, by Somnath Sengupta

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Single-Layer Perceptions, by Somnath Sengupta

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Solution of Non-Linearly Separable Problems Using MLP, by Somnath Sengupta

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Solution of Regularization Equation: Greens Function, by Somnath Sengupta

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Statistical Aspects of Learning, by Somnath Sengupta

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Support Vector Machine, by P.K. Biswas

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Temporal Pattern Recognition, by P.K. Biswas

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Unconstrained Optimization: Gauss-Newton’s Method, by Somnath Sengupta

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Unsupervised Learning-Clustering, by P.K. Biswas

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Use of Greens Function in Regularization Networks, by Somnath Sengupta

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V.C. Dimensions: Typical Examples, by Somnath Sengupta

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Vector-Quantization Using SOM, by Somnath Sengupta

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