Description: Analysis and Design of Machine Learning Techniques by Patrick Stalph Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Manipulating or grasping objects seems like a trivial task for humans, as these are motor skills of everyday life. 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. Publisher Description 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. Author Biography Patrick Stalph was a Ph.D. student at the chair of Cognitive Modeling, which is led by Prof. Butz at the University of TÜbingen. Details ISBN 3658049367 ISBN-13 9783658049362 Title Analysis and Design of Machine Learning Techniques Author Patrick Stalph Format Paperback Year 2014 Pages 155 Publisher Springer Fachmedien Wiesbaden GE_Item_ID:137898634; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 69.9 USD
Location: Fairfield, Ohio
End Time: 2024-11-20T03:47:43.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9783658049362
Book Title: Analysis and Design of Machine Learning Techniques
Number of Pages: Xix, 155 Pages
Language: English
Publication Name: Analysis and Design of Machine Learning Techniques : Evolutionary Solutions for Regression, Prediction, and Control Problems
Publisher: Springer Fachmedien Wiesbaden Gmbh
Subject: Life Sciences / Neuroscience, General, Physiology, Electrical, Robotics
Publication Year: 2014
Item Weight: 83 Oz
Type: Textbook
Author: Not Available
Item Length: 8.3 in
Subject Area: Computers, Technology & Engineering, Science, Medical
Item Width: 5.8 in
Format: Trade Paperback
