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121
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ESANN
2007
15 years 1 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
116
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EKAW
2000
Springer
15 years 3 months ago
2000
Springer
Abstract. The overall aim of this paper is to provide a general setting for quantitative quality measures of Knowledge-Based System behavior which is widely applicable to many Know...
111
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SIGMOD
2010
ACM
15 years 3 months ago
2010
ACM
Microsoft StreamInsight (StreamInsight, for brevity) is a platform for developing and deploying streaming applications. StreamInsight adopts a deterministic stream model that leve...
ICML
1998
IEEE
16 years 12 days ago
1998
IEEE
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
125
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EMSOFT
2009
Springer
15 years 6 months ago
2009
Springer
System-on-Chip (SoC) is a promising paradigm to implement safety-critical embedded systems, but it poses significant challenges from a design and verification point of view. In ...