Print
Univis
Search
 
FAU-Logo
Techn. Fakultät Willkommen am Institut für Informatik FAU-Logo

Exercises

The exercise courses will be held on:

Monday 10:00 - 10.45 (E 1.11)
Wednesday 14:00 - 14.45 (!! 09.150 !!)

Both courses will cover the same topics.

If there are any questions or problems regarding the exercises that could not be clarified within the courses, feel free to come by or write an email.

Start and Subscription

The exercises will start October 24, 2011.

Any information regarding the exercises and the assignments will be given in the first lecture or exercise.

 

News

  • 21.10.10
    The classification toolbox is now available for download.
    There are two versions of Matlab available at the CIP-Pool, R2009b and R2010b. As there are apparently problems with the 2010 version, please try to get the Classification Toolbox running with the 2009b version under /local/matlab-2009/bin. If you still encounter problems, please report them to us!

Assignments

Nr.MaterialDateDue
0.

Classification Toolbox base (.zip

Toolbox Presentation (.pdf)

Nearest Neighbor (.m)

21.10.11-
1.

Exercise Sheet 1 (.pdf)

k-Nearest Neighbor classifier (.m)

26.10.1131.10.11
2.

Exercise Sheet 2 (.pdf)

Gaussian Mixture (.m), Gaussian Logistic Regression (.m)

02.11.1107.11.11
3.

Exercise Sheet 3 (.pdf)

Naive Bayes (.m), PCA (.zip), LDA (.m)

09.11.1114.11.11
4.

Exercise Sheet 4 (.pdf)

Fisher Transform base (.m), Fisher Transform solution (.m), Norms (.m)

17.11.1123.11.11
5.

Exercise Sheet 5 (.pdf)

Perceptron (.m)

24.11.1130.11.11
6.

Exercise Sheet 6 (.pdf) Optimization skeleton (.m)

Optimization (.m)

02.12.1107.12.11
7.

Exercise Sheet 7 (.pdf)

SVM (Initiates file download.m)

09.12.1114.12.11
8.

Exercise Sheet 8 (Initiates file download.pdf) KernelSVM data (Initiates file download.mat)

KernelSVM (Initiates file download.m)

15.12.1119.12.11
9.

EM Algorithm (Initiates file download.pdf) k-Means (Initiates file download.m) EM (Initiates file download.m)

EM Algorithm solution (Initiates file download.m), k-Means solution (Initiates file download.m)

13.01.1216.01.11
10.Bias Variance Trade-Off, Cross Validation, Bootstrapping (Initiates file download.pdf)30.01.1201.02.12
11.Ada-Boost (Initiates file download.pdf)05.02.1206.02.12