1183 search results - page 71 / 237 » Learning Process Models with Missing Data |
106
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NIPS
2000
15 years 2 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
134
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SIBGRAPI
2000
IEEE
15 years 5 months ago
2000
IEEE
This work has as main objective to present an off-line signature verification system. It is basically divided into three parts. The first one demonstrates a pre-processing process,...
103
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CBMS
2006
IEEE
15 years 7 months ago
2006
IEEE
Inductive learning systems have been successfully applied in a number of medical domains. It is generally accepted that the highest accuracy results that an inductive learning sys...
121
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NIPS
2008
15 years 2 months ago
2008
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
119
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COOPIS
2004
IEEE
15 years 5 months ago
2004
IEEE
Semantically heterogeneous and distributed data sources are quite common in several application domains such as bioinformatics and security informatics. In such a setting, each dat...