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Artificial Neuron Model and Linear Regression, by Somnath Sengupta

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Associative Memory Model, by Somnath Sengupta

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Associative Memory, by Somnath Sengupta

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Back Propagation Algorithm, by Somnath Sengupta

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Bayes Classifier & Perceptron: An Analogy, by Somnath Sengupta

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Bayes Classifier for Gaussian Distribution, by Somnath Sengupta

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Bayes Decision Theory (Contd.), by P.K. Biswas

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Bayes Decision Theory-Binary Features, by P.K. Biswas

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Bayes Decision Theory, by P.K. Biswas

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Clustering (Contd.), by P.K. Biswas

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Clustering Using Minimal Spanning Tree, by P.K. Biswas

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Comparison between MLP and RBF, by Somnath Sengupta

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Condition for Perfect Recall in Associative Memory, by Somnath Sengupta

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Cooperative and Adaptive Processes in SOM, by Somnath Sengupta

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Dimensionality Problem, by P.K. Biswas

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Dimensionality Reduction Using PCA, by Somnath Sengupta

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Feature Extraction-I, by P.K. Biswas

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Feature Extraction-II, by P.K. Biswas

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Feature Extraction-III, by P.K. Biswas

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Fuzzy Min Max Neural Network for Pattern Recognition, by P.K. Biswas

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Gradient Descent Algorithm, by Somnath Sengupta

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Hebbian-Based Principal Component Analysis, by Somnath Sengupta

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Heuristics for Back-Propagation, by Somnath Sengupta

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Hidden Markov Model (Contd.), by P.K. Biswas

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Hidden Markov Model (Contd.), by P.K. Biswas

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Hidden Markov Model, by P.K. Biswas

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Hyperbox Classifier (Contd.), by P.K. Biswas

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Hyperbox Classifier, by P.K. Biswas

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Importance of V.C. Dimensions Structural Risk Minimization, by Somnath Sengupta

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Introduction to Artificial Neural Networks, by Somnath Sengupta

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Introduction to Principal Components and Analysis, by Somnath Sengupta

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Introduction to Self Organizing Maps, by Somnath Sengupta

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Introduction, by P.K. Biswas

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Learning Mechanisms-Hebbian,Competitive,Boltzmann, by Somnath Sengupta

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Least Mean Squares Algorithm, by Somnath Sengupta

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Linear Discriminator (Tutorial), by P.K. Biswas

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Linear least Squares Filters, by Somnath Sengupta

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Maximum Likelihood Estimation, by P.K. Biswas

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MSE Criterion, by P.K. Biswas

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Multi-Class Classification Using Multi-Layered Perceptrons, by Somnath Sengupta

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Multiple Discriminant Analysis (Tutorial), by P.K. Biswas

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Multiple Discriminant Analysis (Tutorial), by P.K. Biswas

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Multiple Discriminant Analysis, by P.K. Biswas

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Neural Networks for Pattern Recognition (Contd.), by P.K. Biswas

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Neural Networks for Pattern Recognition (Contd.), by P.K. Biswas

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Neural Networks for Pattern Recognition, by P.K. Biswas

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Nonlinear Activation Units and Learning Mechanisms, by Somnath Sengupta

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Normal Density and Discriminant Function (Contd.), by P.K. Biswas

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Normal Density and Discriminant Function, by P.K. Biswas

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Perceptron Convergence Theorem, by Somnath Sengupta

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