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113
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IDA
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors, and derive an efficient Gibbs sampler to ...
ICONIP
2009
14 years 9 months ago
2009
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
DOLAP
2000
ACM
15 years 4 months ago
2000
ACM
Analyzing data obtained from web server logs, so-called “clickstreams”, is rapidly becoming one of the most important activities for companies in any sector as most businesses...
124
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IEEECGIV
2009
IEEE
15 years 6 months ago
2009
IEEE
The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements preserves the ...
COMAD
2008
15 years 1 months ago
2008
In designing and developing large complex products, people use models to describe and organize interrelated elements in both product systems (architecture, use cases, constraints....