'Types of Errors' Video Lecture

Types of Errors

  • Course: Pattern Recognition
  • Discipline: Computer Science and Engineering
  • Faculty: Prof. Sukhendu Das, Prof. C.A. Murthy
  • Institute: IIT Madras

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    Course Video Lectures Principles of Pattern Recognition I (Introduc.. Principles of Pattern Recognition II (Mathema.. Principles of Pattern Recognition III (Class.. Clustering vs. Classification Relevant Basics of Linear Algebra, Vector Spa.. Eigen Value and Eigen Vectors Vector Spaces Rank of Matrix and SVD Types of Errors Examples of Bayes Decision Rule Normal Distribution and Parameter Estimation Training Set, Test Set Standardization, Normalization, Clustering an.. Normal Distribution and Decision Boundaries I Normal Distribution and Decision Boundaries I.. Bayes Theorem Linear Discriminant Function and Perceptron Perceptron Learning and Decision Boundaries Linear and Non-Linear Decision Boundaries K-NN Classifier Principal Component Analysis (PCA) Fisher’s LDA Gaussian Mixture Model (GMM) Assignments Basics of Clustering, Similarity/Dissimilarit.. K-Means Algorithm and Hierarchical Clustering.. K-Medoids and DBSCAN Feature Selection : Problem statement and Use.. Feature Selection : Branch and Bound Algorith.. Feature Selection : Sequential Forward and Ba.. Cauchy Schwartz Inequality Feature Selection Criteria Function: Probabil.. Feature Selection Criteria Function: Intercla.. Principal Components Comparison Between Performance of Classifiers Basics of Statistics, Covariance, and their P.. Data Condensation, Feature Clustering, Data V.. Probability Density Estimation Visualization and Aggregation Support Vector Machine (SVM) FCM and Soft-Computing Techniques Examples of Uses or Application of Pattern Re.. Examples of Real-Life Dataset
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