564 search results - page 19 / 113 » Approximation algorithms for restricted Bayesian network str... |
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CORR
2006
Springer
15 years 15 days ago
2006
Springer
Suppose we are given a set of objects that cover a region and a duration associated with each object. Viewing the objects as jobs, can we schedule their beginning times to maximiz...
112
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NIPS
2000
15 years 1 months ago
2000
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
126
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BMCBI
2010
15 years 17 days ago
2010
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
114
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DCOSS
2006
Springer
15 years 4 months ago
2006
Springer
We develop algorithms for finding the minimum energy transmission schedule for duty-cycle and rate constrained wireless sensor nodes transmitting over an interference channel. Sinc...
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...