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21.
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Pattern Recognition: Maximum Likelihood estimation of different densities / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering Maximum Likelihood estimation of different densities
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Publication details: Bangalore Indian Insitiute of Science
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22.
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Pattern Recognition: "Bayesian estimation of parameters of density functions, MAP estimates" / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering "Bayesian estimation of parameters of density functions, MAP estimates"
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Publication details: Bangalore Indian Insitiute of Science
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23.
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Pattern Recognition: Bayesian Estimation examples; the exponential family of densities and ML estimates / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering Bayesian Estimation examples; the exponential family of densities and ML estimates
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Publication details: Bangalore Indian Insitiute of Science
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24.
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Pattern Recognition: Sufficient Statistics; Recursive formulation of ML and Bayesian estimates / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering Sufficient Statistics; Recursive formulation of ML and Bayesian estimates
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Publication details: Bangalore Indian Insitiute of Science
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25.
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Pattern Recognition: "Mixture Densities, ML estimation and EM algorithm" / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering "Mixture Densities, ML estimation and EM algorithm"
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Publication details: Bangalore Indian Insitiute of Science
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26.
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Pattern Recognition: Convergence of EM algorithm; overview of Nonparametric density estimation / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering Convergence of EM algorithm; overview of Nonparametric density estimation
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Publication details: Bangalore Indian Insitiute of Science
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27.
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Pattern Recognition: "Convergence of EM algorithm, Overview of Nonparametric density estimation" / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering "Convergence of EM algorithm, Overview of Nonparametric density estimation"
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Publication details: Bangalore Indian Insitiute of Science
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28.
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Pattern Recognition: "Nonparametric estimation, Parzen Windows, nearest neighbour methods" / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering "Nonparametric estimation, Parzen Windows, nearest neighbour methods"
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Publication details: Bangalore Indian Insitiute of Science
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29.
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Pattern Recognition: Linear Discriminant Functions; Perceptron -- Learning Algorithm and convergence proof / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering Linear Discriminant Functions; Perceptron -- Learning Algorithm and convergence proof
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Publication details: Bangalore Indian Insitiute of Science
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30.
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Pattern Recognition: Linear Least Squares Regression; LMS algorithm / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering Linear Least Squares Regression; LMS algorithm
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Publication details: Bangalore Indian Insitiute of Science
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31.
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Pattern Recognition: AdaLinE and LMS algorithm; General nonliner least-squares regression / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering AdaLinE and LMS algorithm; General nonliner least-squares regression
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32.
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Pattern Recognition: Logistic Regression; Statistics of least squares method; Regularized Least Squares / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering Logistic Regression; Statistics of least squares method; Regularized Least Squares
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33.
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Pattern Recognition: Fisher Linear Discriminant / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering Fisher Linear Discriminant
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34.
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Pattern Recognition: Linear Discriminant functions for multi-class case; multi-class logistic regression / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering Linear Discriminant functions for multi-class case; multi-class logistic regression
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35.
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Pattern Recognition: Learning and Generalization; PAC learning framework / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering Learning and Generalization; PAC learning framework
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Publication details: Bangalore Indian Insitiute of Science
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36.
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Pattern Recognition: Overview of Statistical Learning Theory; Empirical Risk Minimization / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering Overview of Statistical Learning Theory; Empirical Risk Minimization
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Publication details: Bangalore Indian Insitiute of Science
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37.
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Pattern Recognition: Consistency of Empirical Risk Minimization / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering Consistency of Empirical Risk Minimization
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38.
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Pattern Recognition: Consistency of Empirical Risk Minimization; VC-Dimension / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering Consistency of Empirical Risk Minimization; VC-Dimension
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39.
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Pattern Recognition: Complexity of Learning problems and VC-Dimension / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering Complexity of Learning problems and VC-Dimension
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40.
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Pattern Recognition: VC-Dimension Examples; VC-Dimension of hyperplanes / P.S. Sastry by Series: NPTEL Lecture Series. Electronics And Communication Engineering VC-Dimension Examples; VC-Dimension of hyperplanes
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