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Machine Learning for Cyber Physical Systems: Selected Papers from the International Conference Ml4cps 2015

PUBLISHER Springer Vieweg (02/20/2016)
PRODUCT TYPE Paperback (Paperback)

Description

The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS - Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 1-2, 2015.

Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

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Product Format
Product Details
ISBN-13: 9783662488362
ISBN-10: 3662488361
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
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Page Count: 121
Carton Quantity: 31
Product Dimensions: 6.69 x 0.27 x 9.61 inches
Weight: 0.48 pound(s)
Feature Codes: Illustrated
Country of Origin: NL
Subject Information
BISAC Categories
Computers | Artificial Intelligence - General
Computers | Data Science - Data Analytics
Computers | Information Management
Dewey Decimal: 006.3
Descriptions, Reviews, Etc.
jacket back

The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS - Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 1-2, 2015.

Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

Show More
publisher marketing

The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS - Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 1-2, 2015.

Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

Show More
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Paperback