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104
Voted
CIDM
2007
IEEE
15 years 6 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
168
Voted
TOCL
2012
13 years 5 months ago
2012
racting these leads us to introduce the notion of a path object category. This is a relatively simple axiomatic framework, which is nonetheless sufficiently strong to allow the con...
124
Voted
JMLR
2010
14 years 9 months ago
2010
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
131
Voted
EUROMICRO
2003
IEEE
15 years 7 months ago
2003
IEEE
Recently, several languages for web service composition have emerged (e.g., BPEL4WS and WSCI). The goal of these languages is to glue web services together in a process-oriented w...
108
Voted
ICML
1997
IEEE
16 years 3 months ago
1997
IEEE
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...