TU Chemnitz: Fak. für Informatik: Professur Künstliche Intelligenz
Studieren in Chemnitz. Wissen, was gut ist.
Vorlesungsskripte
- Einführung in die Künstliche Intelligenz (Prof. Dr. Hamker),
-
Neurokognition - WS 2009/2010 (Prof. Hamker)
Introduction
Neuron_ElectricalCircuits
Neuron_Membrane
Neuron_IF
Neuron_HH
Neuron_Synapse
Neuron_Poisson
Neuron_Rate
Networks_Principles
Learning_Principles
Networks_LGN
Networks_ObjectRecognition
Networks_VI
Networks_Depth_Perception
Attention_Saliency
ObjectRecognition II
Attention_BiasedC
Attention_Systems
Attention_Integration
SpacePercept
Exercise 1
Solution 1
Exercise 2
Solution 2
Exercise 3
Solution 3
Exercise 4
Solution 4
Exercise 5
Solution 5
Exercise 6
Exercise: Radial Basis Function Networks
-
Maschinelles Lernen - WS 2009/2010 (Prof. Hamker)
Introduction
Evaluative Feedback
The Reinforcement Learning Problem
Dynamic Programming
Monte Carlo Methods
Temporal-Difference Learning
Eligibuility Traces
Generalization and Function Approximation
Planning and Learning
Backgammon
-
Robotik (Dr. Steinmüller)
WS 2008/2009
WS 2009/2010 -
Sprachverarbeitung (Dr. Steinmüller)
WS 2007/2008
Die älteren Skripte von Prof. Dilger sind auf Anfrage bei Dipl.-Inf. Frederik Beuth erhältich.
