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198
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NIPS
1998
15 years 8 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
160
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ISMB
2000
15 years 8 months ago
2000
This paper presents a framework called Parallel Experiment Planning (PEP) that is based on an abstraction of how experiments are performed in the domain of macromolecular crystall...
162
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PDSE
2000
15 years 8 months ago
2000
To support multimedia applications in mobile environments, it will be necessary for applications to be aware of the underlying environmental conditions, and also to be able to ada...
160
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UAI
1997
15 years 8 months ago
1997
Recursive graphical models usually underlie the statistical modelling concerning probabilistic expert systems based on Bayesian networks. This paper de nes a version of these mode...
163
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ISMB
1993
15 years 8 months ago
1993
This paper presents results from an ongoing effort in applying a variety of induction-based methods to the problem of predicting the biological activity of noncongeneric (structu...