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» Data Modelling in Complex Application Domains
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154
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CSSC
2008
110views more  CSSC 2008»
15 years 3 months ago
Bayesian False Discovery Rate Wavelet Shrinkage: Theory and Applications
The interest in inference in the wavelet domain remains vibrant area of statistical research because of needs of scientific community to process and explore massive data sets. Prim...
Ilya Lavrik, Yoon Young Jung, Fabrizio Ruggeri, Br...
ESSMAC
2003
Springer
15 years 8 months ago
Filtered Gaussian Processes for Learning with Large Data-Sets
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
144
Voted
DBA
2004
113views Database» more  DBA 2004»
15 years 5 months ago
A Quality Measure for Distributed Clustering
Clustering has become an increasingly important task in modern application domains. Mostly, the data are originally collected at different sites. In order to extract information f...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
128
Voted
MIDDLEWARE
2004
Springer
15 years 9 months ago
On the benefits of decomposing policy engines into components
In order for middleware systems to be adaptive, their properties and services need to support a wide variety of application-specific policies. However, application developers and ...
Konstantin Beznosov
117
Voted
IJCAI
1989
15 years 4 months ago
An Adaptive Model of Decision-Making in Planning
Learning how to make decisions in a domain is a critical aspect of intelligent planning behavior. The ability of a planner to adapt its decision-making to a domain depends in part...
Gregg Collins, Lawrence Birnbaum, Bruce Krulwich