1183 search results - page 12 / 237 » Learning Process Models with Missing Data |
SDM
2004
SIAM
15 years 1 months ago
2004
SIAM
We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...
VLDB
1990
ACM
15 years 3 months ago
1990
ACM
A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
114
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JMLR
2008
14 years 11 months ago
2008
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
104
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ISORC
2006
IEEE
15 years 5 months ago
2006
IEEE
Many real-time applications, such as traffic control systems, surveillance systems and health monitoring systems, need to operate on continuous unbounded streams of data. These ap...
118
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ICML
2007
IEEE
16 years 16 days ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...