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02552nam a22005175i 4500 |
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978-1-4614-1854-2 |
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DE-He213 |
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20151204185945.0 |
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111121s2012 xxu| s |||| 0|eng d |
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|a 9781461418542
|9 978-1-4614-1854-2
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|a 10.1007/978-1-4614-1854-2
|2 doi
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|d GrThAP
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|a TK5105.5-5105.9
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|a UKN
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|a COM075000
|2 bisacsh
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|a 004.6
|2 23
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|a Kiefer, Peter.
|e author.
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|a Mobile Intention Recognition
|h [electronic resource] /
|c by Peter Kiefer.
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|a 1.
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|a New York, NY :
|b Springer New York,
|c 2012.
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|a XVI, 168 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Introduction -- Mobile Intention Recognition -- Related Approaches in Plan Recognition -- Mobile Intention Recognition with Spatially Constrained Grammars -- Evaluation and Discussion -- Conclusion and Outlook.
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|a Mobile Intention Recognition addresses problems of practical relevance for mobile system engineers: how can we make mobile assistance systems more intelligent? How can we model and recognize patterns of human behavior which span more than a limited spatial context? This text provides an overview on plan and intention recognition, ranging from the late 1970s to very recent approaches. This overview is unique as it discusses approaches with respect to the specificities of mobile intention recognition. This book covers problems from research on mobile assistance systems using methods from artificial intelligence and natural language processing. It thus addresses an extraordinary interdisciplinary audience.
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|a Computer science.
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|a Computer communication systems.
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|a Artificial intelligence.
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|a Computer simulation.
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|a Pattern recognition.
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|a Algorithms.
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|a Computer Science.
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|a Computer Communication Networks.
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|a Artificial Intelligence (incl. Robotics).
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|a Pattern Recognition.
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|a Algorithms.
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|a Simulation and Modeling.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9781461418535
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|u http://dx.doi.org/10.1007/978-1-4614-1854-2
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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|a Computer Science (Springer-11645)
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