ALaRT 2005: Siegen, Germany

Klaus-Dieter Kuhnert, Martin Stommel (Eds.): International Workshop on Automatic Learning and Real-Time, ALaRT 2005, September 7-8, Siegen, Germany, Proceedings. University Siegen, Germany 2005

Machine Learning in Computer Vision: Reinforcement Learning, Self Organising Map

Yotam Abramson, Bruno Steux, Hicham Ghorayeb: YEF (Yet Even Faster) Real-Time Object Detection. 5-13
Gabriele Peters, Thomas Leopold: Dynamic Learning of Action Patterns for Object Acquisition. 15-22
Rolf Schatten, Nils Goerke: Supervised, Edge Adaptive Maps. 23-32

Learning Control

Reyhaneh Bakhtiari, Babak Nadjar Araabi, Majid Nili Ahmadabadi: A Cooperative Learning Approach to Mixed Performance Controller Design: A Behavioural Viewpoint. 33-48
Orest V. Iftime, Michel Verhaegen: Model-Based Learning Control with Non-Repetitive Initial Conditions. 49-56
Hellmar Rockel, Ulrich Konigorski: Parametric Iterative Learning Control in the Time and Frequency Domain. 57-64

Embedded Machine Learning: Decision Trees, Genetic Algorithms

David J. Mulvaney, Ian P. W. Sillitoe, Erick Swere, Yang Wang, Zhenhuan Zhu: Real-Time Machine Learning in Embedded Software And Hardware Platforms. 65-78

Data Mining: Neural Networks, Self Organising Map

Mingwei Yuan, Ping Jiang: Event Triggered Holonic Organization Formation. 79-88
Guang-Hong Wang, Ping Jiang: Informax Principle-Based Query Expansion Using Hopfield Neural Networks. 89-97
Nils Goerke, Florian Kintzler, Bernd Brüggemann: Multi-SOMs for Classification. 99-107

Machine Learning Applications: Support Vector Machines, Neural Networks, Genetic Algorithms

Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. De Silva: Incremental Learning for Spoken Affect Classification and its Application in Call-Centres. 109-117
Stephan M. Winkler, Hajrudin Efendic, Michael Affenzeller, Luigi del Re, Stefan Wagner: On-Line Modelling Based on Genetic Programming. 119-130

Learning of Behaviour: Imitation Learning, Bayesian Learning, Principle Component Analysis, Reinforcement Learning

Dirk Söffker, Elmar Ahle: Idea, Conception, and Realization of Learning Abilities for Robot Control Using a Situation-Operator- Model. 131-141
Christian Thurau, Tobias Paczian, Gerhard Sagerer, Christian Bauckhage: Bayesian Imitation Learning in Game Characters. 143-151
Xianhua Jiang, Yuichi Motai: Incremental On-line PCA for Automatic Motion Learning of Eigen Behavior. 153-164
Nils Goerke, Timo Henne: Controlling an Autonomous Agent using Internal Value based Action Selection. 165-175