Stalph | Analysis and Design of Machine Learning Techniques | Buch | 978-3-658-04936-2 | www.sack.de

Buch, Englisch, 155 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 2354 g

Stalph

Analysis and Design of Machine Learning Techniques

Evolutionary Solutions for Regression, Prediction, and Control Problems
2014
ISBN: 978-3-658-04936-2
Verlag: Springer

Evolutionary Solutions for Regression, Prediction, and Control Problems

Buch, Englisch, 155 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 2354 g

ISBN: 978-3-658-04936-2
Verlag: Springer


Manipulating or grasping objects seems like a trivial task for humans, as these are motor skills of everyday life. Nevertheless, motor skills are not easy to learn for humans and this is also an active research topic in robotics. However, most solutions are optimized for industrial applications and, thus, few are plausible explanations for human learning. The fundamental challenge, that motivates Patrick Stalph, originates from the cognitive science: How do humans learn their motor skills? The author makes a connection between robotics and cognitive sciences by analyzing motor skill learning using implementations that could be found in the human brain – at least to some extent. Therefore three suitable machine learning algorithms are selected – algorithms that are plausible from a cognitive viewpoint and feasible for the roboticist. The power and scalability of those algorithms is evaluated in theoretical simulations and more realistic scenarios with the iCub humanoid robot. Convincing results confirm the applicability of the approach, while the biological plausibility is discussed in retrospect.

Stalph Analysis and Design of Machine Learning Techniques jetzt bestellen!

Zielgruppe


Research


Autoren/Hrsg.


Weitere Infos & Material


Introduction and Motivation.- Introduction to Function Approximation and Regression.- Elementary Features of Local Learning Algorithms.- Algorithmic Description of XCSF.- How and Why XCSF works.- Evolutionary Challenges for XCSF.- Basics of Kinematic Robot Control.- Learning Directional Control of an Anthropomorphic Arm.- Visual Servoing for the iCub.- Summary and Conclusion.


Patrick Stalph was a Ph.D. student at the chair of Cognitive Modeling, which is led by Prof. Butz at the University of Tübingen.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.