Rückstieß, Thomas and Osendorfer, Christian and van der Smagt, Patrick (2011) Sequential feature selection for classification. In: Proceedings. ICML 2011, The 28th International Conference on Machine Learning, 2011-12-05 - 2011-12-08, Perth, Australia.
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Abstract
In most real-world information processing problems, data is not a free resource; its acquisition is rather time-consuming and/or expensive. We investigate how these two factors can be included in supervised classication tasks by deriving classication as a sequential decision process and making it accessible to Reinforcement Learning. Our method performs a sequential feature selection that learns which features are most informative at each timestep, choosing the next feature depending on the already selected features and the internal belief of the classier. Experiments on a handwritten digits classication task show signicant reduction in required data for correct classication, while a medical diabetes prediction task illustrates variable feature cost minimization as a further property of our algorithm.
Item URL in elib: | https://elib.dlr.de/74302/ | ||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech, Paper) | ||||||||||||||||
Title: | Sequential feature selection for classification | ||||||||||||||||
Authors: |
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Date: | 2011 | ||||||||||||||||
Journal or Publication Title: | Proceedings | ||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||
Open Access: | Yes | ||||||||||||||||
Gold Open Access: | No | ||||||||||||||||
In SCOPUS: | No | ||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||
Status: | Published | ||||||||||||||||
Keywords: | reinforcement learning, feature selection, classication | ||||||||||||||||
Event Title: | ICML 2011, The 28th International Conference on Machine Learning | ||||||||||||||||
Event Location: | Perth, Australia | ||||||||||||||||
Event Type: | international Conference | ||||||||||||||||
Event Start Date: | 5 December 2011 | ||||||||||||||||
Event End Date: | 8 December 2011 | ||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport (old) | ||||||||||||||||
HGF - Program: | Space (old) | ||||||||||||||||
HGF - Program Themes: | W SY - Technik für Raumfahrtsysteme | ||||||||||||||||
DLR - Research area: | Space | ||||||||||||||||
DLR - Program: | W SY - Technik für Raumfahrtsysteme | ||||||||||||||||
DLR - Research theme (Project): | W - RMC - Kognitive Intelligenz und Autonomie (old) | ||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||
Institutes and Institutions: | Institute of Robotics and Mechatronics (until 2012) > Robotic Systems | ||||||||||||||||
Deposited By: | Beinhofer, Gabriele | ||||||||||||||||
Deposited On: | 20 Jan 2012 11:32 | ||||||||||||||||
Last Modified: | 24 Apr 2024 19:40 |
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