Analysis and Design of Machine Learning Techniques (Record no. 53005)
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| fixed length control field | 03653nam a22005295i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-658-04937-9 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200420221257.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140206s2014 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783658049379 |
| -- | 978-3-658-04937-9 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 629.8 |
| 100 1# - AUTHOR NAME | |
| Author | Stalph, Patrick. |
| 245 10 - TITLE STATEMENT | |
| Title | Analysis and Design of Machine Learning Techniques |
| Sub Title | Evolutionary Solutions for Regression, Prediction, and Control Problems / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XIX, 155 p. 62 illus. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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.     Contents How do humans learn their motor skills Evolutionarymachinelearningalgorithms Applicationtosimulatedrobots   Target Groups Researchers interested in artificial intelligence, cognitive sciences or robotics Roboticists interested in integrating machine learning   About the Author Patrick Stalph was a Ph.D. student at the chair of Cognitive Modeling, which is led by Prof. Butz at the University of T�ubingen. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-658-04937-9 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Wiesbaden : |
| -- | Springer Fachmedien Wiesbaden : |
| -- | Imprint: Springer Vieweg, |
| -- | 2014. |
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| -- | text |
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| -- | computer |
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| -- | rdamedia |
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| -- | online resource |
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| 347 ## - | |
| -- | text file |
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| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Neurobiology. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Control engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Robotics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mechatronics. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Control, Robotics, Mechatronics. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Science, general. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Neurobiology. |
| 912 ## - | |
| -- | ZDB-2-ENG |
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