922 search results - page 101 / 185 » Learning Gaussian Process Models from Uncertain Data |
115
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NIPS
2000
15 years 4 months ago
2000
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
138
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KDD
2000
ACM
15 years 6 months ago
2000
ACM
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
130
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BMCBI
2005
15 years 2 months ago
2005
Background: Microarray-CGH experiments are used to detect and map chromosomal imbalances, by hybridizing targets of genomic DNA from a test and a reference sample to sequences imm...
139
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JACM
2010
15 years 1 months ago
2010
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
131
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RECOMB
2002
Springer
16 years 2 months ago
2002
Springer
We present a probabilistic framework that models the process by which transcriptional binding explains the mRNA expression of different genes. Our joint probabilistic model unifie...