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Weekly Calendar

[Week 1]   [Week 2]   [Week 3]   [Week 4]   [Week 5]  
[Week 6]   [Week 7]   [Week 8]   [Week 9]  [Week 10]
[Week 11]  [Week 12]  [Week 13]  [Week 14]  [Week 15]  [Week 16]

Assignment code

Week 1

DateTopicsReadingLecture Notes HandoutAssignments
Wednesday Motivations
Organizational Issues
General Introduction
to Pattern Recognition 		Chapter 1 Introduction
 Syllabus  
Friday Pattern Recognition Systems
Terminology
Bayesian decision theory		 2.1-2.4
Append A.4
2.8.3

2.3.1 and 2.3.2 will
NOT be on the exam		 Bayesian Decision Theory
    

Week 2

DateTopicsReadingLecture Notes HandoutAssignments
Monday Bayesian decision theory
(Continued) 		      Homework #1
( Word format)
(Due Noon, 1/25/2012 )
Wednesday Bayesian decision theory
(Continued)

Numerical Examples
   Numerical Examples
    
Friday Bayesian decision theory
for normal density
Classification of real datasets
Naive Bayesian classifier
Advanced topics
 2.5, 2.6

2.9 (Self-reading)

2.7, 2.8.1, and 2.8.2 will
NOT be on the exam
Bayesian Classification for
Normal Density
 Example Matlab programs
Wine
Ocr

Naive Bayesian classifier analysis paper
(Not required)

Spam filtering
(From http://www.paulgraham.com/spam.html)
(Proceedings of the first conference on North American
chapter of the Association for Computational
Linguistics, pp. 63-69, 2002.)
 

Week 3

DateTopicsReadingLecture Notes HandoutAssignments
Monday Holiday; no class        
Wednesday NSF panel reviewing; no class        
Friday Bayesian decision theory
for normal density

Naive Bayesian classifier
Advanced topics
(Continued)		   (Same as last time)      

Week 4

DateTopicsReadingLecture Notes HandoutAssignments
Monday Naive Bayesian Classifier
Advanced topics
(Continued)

Maximum-likelihood estimation 		3.1-3.2 Parameter Estimation
   Homework #2
( Word format)
(Due noon, 2/6/2012) 
Wednesday Maximum-likelihood estimation
(Continued)

Bayesian estimation
3.3      
Friday Parametric Methods
(Continued)

Nonparametric Techniques - Parzen Windows 		4.1-4.3 Parzen Windows
    

Week 5

DateTopicsReadingLecture Notes HandoutAssignments
Monday Parametric methods
(Continued)

Nonparametric Techniques
Parzen Windows
4.1-4.3 Parzen Windows
    
Wednesday Nonparametric Techniques
(Continued) 		4.4, 4.5, 4.6.1
4.6.2,4.8 (Not required for exams)		 Nearest-Neighbor Estimation
   
Friday Nonparametric Techniques
(Continued)		        

Week 6

DateTopicsReadingLecture Notes HandoutAssignments
Monday K-nearest neighbor rule (continued)
Tangent distance (not required for exams)
Reduced Coulomb Enegery Networks (not required for exams)
4.6, 4.8
 Same as last time   Homework #3
( Word format)

02/17/2012) 
Wednesday K-nearest neighbor rule
(continued)

Linear discriminant functions 		5.1-5.2
5.4-5.7
5.12.1-5.12.2 		Linear Discriminant Functions
     Lab #1
( Word format)
(Due 12:00noon, February 29, 2012)

Iris dataset
Iris training set
Iris test set
(Description)

UCI wine dataset
UCI wine training set
UCI wine test set
(Description)

USPS ZIP dataset
USPS ZIP training set
USPS ZIP test set
(USPS ZIP test set - small)
(Description)
Friday Approximate Nearest Neighbor Search
Algorithms in High Dimensional Space
By Jiangbo Yuan
(Will not be on exams)		   ANN Slides 
    

Week 7

DateTopicsReadingLecture Notes HandoutAssignments
Monday K-nearest-neighbor rules
Linear Discriminant Function		  
 Same as last Wed.    
Monday Linear Discriminant Function  
      
Friday Linear discriminant functions
(continued)

Generalized linear discriminant functions
Kernel trick
Support vector machines 		5.12.1-5.12.2
 Kernel Trick and SVM
    
 

Week 8

DateTopicsReadingLecture Notes HandoutAssignments
Monday Generalized linear discriminant functions
Kernel trick
Support vector machines

Boosting & Component Analysis 		5.12.1-5.12.2
9.5.2
3.8 		Boosting & Component Analysis
 Small SVM Example in Matlab    
Wednesday Component analysis (Continued)
Multilayer neural networks 		3.8.1-3.8.3
6.1-6.5 		Neural Networks
    
Friday Multilayer neural networks 6.8,
6.9 (Not on exam)		      

Week 9

DateTopicsReadingLecture Notes HandoutAssignments
Monday Same as last week        
Wednesday Same as last week        
Friday Same as last week        

Week 10

DateTopicsReadingLecture Notes HandoutAssignments
Monday Spring break No class      
Wendesday Spring break No class      
Friday Spring break No class      

Week 11

DateTopicsReadingLecture Notes HandoutAssignments
Monday Multilayer neural networks 6.1-6.5 Neural Networks
   Term Project
( Word format)
(Brief proposal due: March 30, 2012
Full report due: 5:00pm, April 27, 2012)

Homework #4
( Word format)
(Due 3/26/2012)  
Wednesday Multilayer neural networks
(Continued) 		6.8,
6.9 (Not on exam)		 Neural Networks
(Updated) 		    
Friday Neural Network Examples   Neural Network Examples      

Week 12

` `
DateTopicsReadingLecture Notes HandoutAssignments
Monday Neural Network Examples (continued)       Lab #2
( Word format)
(Due April 16, 2012)
Wednesday Neural Network Examples (continued)

Decision Trees 		8.2-8.4 Decision Trees      
Friday Decision Trees (Continued)        

Week 13

DateTopicsReadingLecture Notes HandoutAssignments
Monday Decision tree
(Continued)
   Same as last time    
Wednesday Midterm exam review
 Chapters 1-6, 8.2-8.4, and 9.5.2
(Some sections are excluded, see the slides
for detail)		 Midterm Review
    
Friday Midterm exam review
(Continued) 		       

Week 14

DateTopicsReadingLecture Notes HandoutAssignments
Monday Questions and answers
Algorithm-Independent Machine Learning		Chapter 9
(Not on the exam)		 Algorithm-Independent Learning    
Wednesday
(April 4)		 Midterm     Midterm Spring 2012 Due 9:05AM, April 9, 2012 
Friday No class Time to work on
the midterm exam  		     

Week 15

DateTopicsReadingLecture Notes HandoutAssignments
Monday Algorithm-Independent Machine Learning Chapter 9 Algorithm-Independent Learning     
Wednesday Unsupervised learning Chapter 10
 Unsupervised Learning    
Friday Syntactic Pattern Recognition 8.5-8.8 Syntactic Pattern Recognition    

Week 16

DateTopicsReadingLecture Notes HandoutAssignments
Monday Midterm exam discussion
        
Wednesday Syntactic Pattern Recognition
(Continued) 		  Same as last time     
Friday Case Studies and Summary   Summary     
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Last modified on April. 17, 2012