375 search results - page 55 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
143
Voted
BMCBI
2010
15 years 4 months ago
2010
Background: Mass spectrometry (MS) is an essential analytical tool in proteomics. Many existing algorithms for peptide detection are based on isotope template matching and usually...
140
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NIPS
2001
15 years 5 months ago
2001
Estimating insurance premia from data is a difficult regression problem for several reasons: the large number of variables, many of which are discrete, and the very peculiar shape...
141
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COLT
1999
Springer
15 years 8 months ago
1999
Springer
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
133
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SEMWEB
2005
Springer
15 years 10 months ago
2005
Springer
This paper addresses a major weakness of current technologies for the Semantic Web, namely the lack of a principled means to represent and reason about uncertainty. This not only h...
129
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...