1183 search results - page 43 / 237 » Learning Process Models with Missing Data |
119
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AAAI
1996
15 years 2 months ago
1996
One issue involved in accessing multiple heterogeneous information sources is how to integrate the retrieved data. SIMS, an information mediator, handles this problem by mapping t...
136
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CVPR
2009
IEEE
16 years 8 months ago
2009
IEEE
Latent Variable Models (LVM), like the Shared-GPLVM
and the Spectral Latent Variable Model, help mitigate over-
fitting when learning discriminative methods from small or
modera...
141
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TIP
2002
15 years 1 months ago
2002
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
140
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ESANN
2007
15 years 2 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 ...
115
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ILP
2007
Springer
15 years 7 months ago
2007
Springer
The management of business processes has recently received a lot of attention. One of the most interesting problems is the description of a process model in a language that allows ...