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174
Voted
PKDD
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
171
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BSN
2006
IEEE
16 years 25 days ago
2006
IEEE
This paper introduces an encapsulated sensor node that is devised to monitor and record motion patterns over long, quotidian periods of time with potential application in psycholo...
146
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ICDM
2003
IEEE
16 years 1 days ago
2003
IEEE
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
210
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FLAIRS
2006
15 years 8 months ago
2006
In this paper, we describe an approach to modelling contextaware systems starting on the knowledge level. We make use of ideas from Activity Theory to structure the general contex...
170
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ICDM
2003
IEEE
16 years 1 days ago
2003
IEEE
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...