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Lecture 9: Positive Feedback (Regenerative)
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Lecture 12: Linear Discriminant Functions; Perceptron -- Learning Algorithm and convergence proof
Lecture 1: Principles of Pattern Recognition I (Introduction and Uses)
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Lecture 13: Surface Effects and Physical properties of nanomaterials II
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Lecture 33: Multivariate Stochastic Models - I
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Lecture 16: Counting the Days
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