Analysis and Design of Machine Learning Techniques
Patrick Stalph
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Description for Analysis and Design of Machine Learning Techniques
Paperback. Num Pages: 174 pages, 62 black & white illustrations, biography. BIC Classification: PSAN; TJFM; UYQM. Category: (P) Professional & Vocational. Dimension: 210 x 148 x 10. Weight in Grams: 239.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer Fachmedien Wiesbaden Germany
Number of pages
174
Condition
New
Number of Pages
155
Place of Publication
Weisbaden, Germany
ISBN
9783658049362
SKU
V9783658049362
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Patrick Stalph
Patrick Stalph was a Ph.D. student at the chair of Cognitive Modeling, which is led by Prof. Butz at the University of Tübingen.
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