Analysis and Design of Machine Learning Techniques is popular PDF and ePub book, written by Patrick Stalph in 2014-02-06, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Analysis and Design of Machine Learning Techniques can be Read Online from any device for your convenience.
Analysis and Design of Machine Learning Techniques Book PDF Summary
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.
Detail Book of Analysis and Design of Machine Learning Techniques PDF
- Author : Patrick Stalph
- Release : 06 February 2014
- Publisher : Springer Science & Business Media
- ISBN : 9783658049379
- Genre : Technology & Engineering
- Total Page : 162 pages
- Language : English
- PDF File Size : 10,9 Mb
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