SNU Library Search for 'su:"Prof. P.S. Sastry"'

Pattern Recognition: Introduction to Statistical Pattern Recognition

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Overview of Pattern Classifiers

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: The Bayes Classifier for minimizing Risk

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Estimating Bayes Error; Minimax and Neymann-Pearson classifiers

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Implementing Bayes Classifier; Estimation of Class Conditional Densities

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Maximum Likelihood estimation of different densities

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: "Bayesian estimation of parameters of density functions, MAP estimates"

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Bayesian Estimation examples; the exponential family of densities and ML estimates

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Sufficient Statistics; Recursive formulation of ML and Bayesian estimates

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: "Mixture Densities, ML estimation and EM algorithm"

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Convergence of EM algorithm; overview of Nonparametric density estimation

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: "Convergence of EM algorithm, Overview of Nonparametric density estimation"

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: "Nonparametric estimation, Parzen Windows, nearest neighbour methods"

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Linear Discriminant Functions; Perceptron -- Learning Algorithm and convergence proof

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Linear Least Squares Regression; LMS algorithm

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: AdaLinE and LMS algorithm; General nonliner least-squares regression

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Logistic Regression; Statistics of least squares method; Regularized Least Squares

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Fisher Linear Discriminant

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Linear Discriminant functions for multi-class case; multi-class logistic regression

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Learning and Generalization; PAC learning framework

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Overview of Statistical Learning Theory; Empirical Risk Minimization

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Consistency of Empirical Risk Minimization

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Consistency of Empirical Risk Minimization; VC-Dimension

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Complexity of Learning problems and VC-Dimension

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: VC-Dimension Examples; VC-Dimension of hyperplanes

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Overview of Artificial Neural Networks

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Multilayer Feedforward Neural networks with Sigmoidal activation functions;

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Backpropagation Algorithm; Representational abilities of feedforward networks

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Feedforward networks for Classification and Regression; Backpropagation in Practice

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Radial Basis Function Networks; Gaussian RBF networks

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Learning Weights in RBF networks; K-means clustering algorithm

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: "Support Vector Machines -- Introduction, obtaining the optimal hyperplane"

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: SVM formulation with slack variables; nonlinear SVM classifiers

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Kernel Functions for nonlinear SVMs; Mercer and positive definite Kernels

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: "Support Vector Regression and ?-insensitive Loss function, examples of SVM learning"

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Overview of SMO and other algorithms for SVM; ?-SVM and ?-SVR; SVM as a risk minimizer

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Positive Definite Kernels; RKHS; Representer Theorem

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Feature Selection and Dimensionality Reduction; Principal Component Analysis

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: No Free Lunch Theorem; Model selection and model estimation; Bias-variance trade-off

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Assessing Learnt classifiers; Cross Validation;

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: "Bootstrap, Bagging and Boosting; Classifier Ensembles; AdaBoost"

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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Pattern Recognition: Risk minimization view of AdaBoost

By "Sastry, P.S.".
Bangalore Indian Insitiute of Science

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