Computational Intelligence, SS08
2 VO 442.070 + 1 RU 708.070 last updated:
General
Course Notes (Skriptum)
Online Tutorials
Practical Course Slides
Homework
Assignments
Scores
Guidelines
Archive
Exams
Animated Algorithms
Interactive Tests
Key Definitions
Downloads
Literature and Links
News
mailto:webmaster

Homework Archive

Nmr Date Title Assignment Additional Solution
1 2007/06/15 Mixtures of Gaussians and HMMs pdf, ps.gz  
2 2007/06/08 Hidden Markov Models pdf, ps.gz  
3 2007/06/01 Adaptive Filters pdf, ps.gz  
4 2007/05/8 VC dimension pdf, ps.gz    
5 2007/05/25 Principal Component Analysis (PCA) and Independent Component Analysis (ICA) pdf, ps.gz  
6 2007/05/14 VC dimension pdf, ps.gz    
7 2007/05/11 Gaussian Statistics and Unsupervised Learning pdf, ps.gz  
8 2007/05/08 Learning Algorithms in Weka pdf, ps.gz Data sets  
9 2007/04/13 Backprop and Overfitting pdf, ps.gz    
10 2007/03/30 Digit classification with backprop pdf, ps.gz Handwritten Digits Data  
11 2007/03/30 Neural Networks and Gradient descent pdf, ps.gz    
12 2006/06/23 Mixtures of Gaussians and HMMs pdf, ps.gz  
13 2006/06/16 Hidden Markov Models pdf, ps.gz  
14 2006/06/09 Adaptive Filters pdf, ps.gz  
15 2006/06/02 Principal Component Analysis (PCA) and Independent Component Analysis (ICA) pdf, ps.gz  
16 2006/05/19 Gaussian Statistics and Unsupervised Learning pdf, ps.gz  
17 2006/05/11 Comparison of different learning algorithms pdf, ps.gz Data sets  
18 2006/03/22 Cross-validation and overfitting pdf, ps.gz    
19 2006/03/22 Digit classification with backprop pdf, ps.gz Handwritten Digits Data  
20 2006/03/22 Threshold circuits and Boolean functions pdf, ps.gz    
21 2005/06/03 Hidden Markov Models pdf, ps.gz  
22 2005/06/03 Viterbi Decoder for the Graz Weather Model pdf, ps.gz  
23 2005/05/20 Gaussian Statistics and Unsupervised Learning pdf, ps.gz  
24 2005/05/13 Adaptive Filters pdf, ps.gz  
25 2005/03/18 Digit classification with backprop pdf, ps.gz Handwritten Digits Data  
26 2005/03/18 Gradient descent learning rule pdf, ps.gz    
27 2005/03/18 Relationship between the true error of a hypothesis and its error on the training set. pdf, ps.gz    
28 2005/03/18 Backprop and cross-validation pdf, ps.gz Pima Indians data  
29 2004/06/17 Automatic Speech Recognition with HTK pdf, ps.gz Data set (13MB!), Linux progs, Windows progs,  
30 2004/06/10 Mixtures of Gaussians and HMMs pdf, ps.gz  
31 2004/06/10 Mixtures of Gaussians pdf, ps.gz  
32 2004/06/04 Viterbi Decoder for the Graz Weather Model pdf, ps.gz  
33 2004/06/04 Hidden Markov Models pdf, ps.gz  
34 2004/05/19 Gaussian Statistics and Unsupervised Learning pdf, ps.gz  
35 2004/05/13 Comparison of different learning algorithms pdf, ps.gz Data sets  
36 2004/05/13 Backprop and cross-validation pdf, ps.gz Pima Indians data  
37 2004/03/16 Adaptive Filters pdf, ps.gz  
38 2004/03/04 Boolean circuits pdf, ps.gz    
39 2004/03/04 Backprop and Overfitting pdf, ps.gz    
40 2004/03/04 VC-dimension of disjoint hypothesis classes pdf, ps.gz    
41 2004/03/04 Demonstrate differences in expression power for different hypothesis classes pdf, ps.gz    
42 2003/06/06 Mixtures of Gaussian pdf, ps.gz  
43 2003/05/23 Markov Models pdf, ps.gz  
44 2003/05/09 Gaussian Statistics and Unsupervised Learning pdf, ps.gz  
45 2003/05/06 Comparison of different learning algorithms pdf, ps.gz Data sets  
46 2003/05/06 VC dimension pdf, ps.gz    
47 2003/04/11 Comparison of different learning algorithms pdf, ps.gz Data sets  
48 2003/04/04 VC-dimension of decision trees of depth 2 pdf, ps.gz    
49 2003/04/04 Backprop and cross-validation pdf, ps.gz Pima Indians data  
50 2003/03/28 Adaptive Filters pdf, ps.gz  
51 2003/03/14 Using Backprop for a regression task pdf, ps.gz Boston Housing Data  
52 2003/03/14 Digit classification with backprop pdf, ps.gz Handwritten Digits Data  
53 2003/03/13 Gradient descent pdf, ps.gz Supervised Learning for Neural Networks  
54 2003/03/13 Boolean Functions and threshold circuits pdf, ps.gz Grundbegriffe der Aussagenlogik  

Remarks