75 search results - page 8 / 15 » Decision making under incomplete data using the imprecise Di... |
105
Voted
KDD
2008
ACM
15 years 10 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
101
click to vote
KDD
2005
ACM
15 years 10 months ago
2005
ACM
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
78
Voted
BMVC
1998
14 years 11 months ago
1998
A novel technique for multi-scale smoothing of a free-form 3-D surface is presented. Complete triangulated models of 3-D objects are constructed (through fusion of range images) a...
ATAL
2010
Springer
14 years 10 months ago
2010
Springer
Bayesian games can be used to model single-shot decision problems in which agents only possess incomplete information about other agents, and hence are important for multiagent co...
183
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PODS
2009
ACM
15 years 10 months ago
2009
ACM
Querying uncertain data has emerged as an important problem in data management due to the imprecise nature of many measurement data. In this paper we study answering range queries...