564 search results - page 68 / 113 » Approximation algorithms for restricted Bayesian network str... |
97
Voted
CCE
2006
15 years 19 days ago
2006
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
117
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BMCBI
2007
15 years 21 days ago
2007
Background: Joint alignment and secondary structure prediction of two RNA sequences can significantly improve the accuracy of the structural predictions. Methods addressing this p...
VLDB
2001
ACM
15 years 5 months ago
2001
ACM
We propose an novel method of computing and storing DataCubes. Our idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute v...
109
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EC
2006
15 years 18 days ago
2006
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
105
Voted
ML
1998
ACM
15 years 8 days ago
1998
ACM
It is well known that prior knowledge or bias can speed up learning, at least in theory. It has proved di cult to make constructive use of prior knowledge, so that approximately c...