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Pattern Classification For Bio-Medical Applications
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Health Informatics
MI720-EN
Topic outline
General
Pattern Classification For Bio-Medical Applications
Instructor: Prof. Dr. Neşe Yalabık
Added: 8 March 2011
Syllabus
File
Topic 1
Introduction to Pattern Classification. Definitions.
Lecture Notes
File
Data, Measurement, Features
File
Topic 2
Applications: How to use MATLAB for Pattern Classification Applications
MATLAB for Pattern Recognition
File
Topic 3
Introduction to Statistical Pattern Recognition. Bayes Rule. Maximum Likelihood Classification. Special Cases.
Statistical Pattern Classification
File
Bayesian Belief Networks
File
Topic 4
Maximum Likelihood Parameter Estimation
Lecture Notes
File
Topic 5
Nearest Neighbor Classification
Nearest and k-nearest Neighbor Classification
File
Density Estimation
File
Topic 6
Linear Discriminant Functions
Lecture Notes
File
Topic 7
Support Vector Machines
Lecture Notes
File
Topic 8
Neural Networks as a tool for Pattern Classification. Multilayer Perceptron and Back-propagation
Lecture Notes
File
Topic 9
Review
Review
File
Topic 10
Decision Trees and Hierarchical Classification
Topic 11
Ensemble Classifiers; Bagging, Boosting, Component Classifier
Topic 12
Clustering Algorithms
Neural Networks - Clustering
File
Hierarchical Clustering
File
Topic 13
Performance Analysis
Lecture Notes
File
Topic 14
Applications in Bio-Informatics
Topic 15
Applications in Medicine
Lecture Notes
File
Topic 16
Homeworks
Homework 1
File
Homework 2
File
MI720-EN
General
Topic 1
Topic 2
Topic 3
Topic 4
Topic 5
Topic 6
Topic 7
Topic 8
Topic 9
Topic 10
Topic 11
Topic 12
Topic 13
Topic 14
Topic 15
Topic 16
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