548 search results - page 15 / 110 » Iterated importance sampling in missing data problems |
JUCS
2006
14 years 10 months ago
2006
: As we know the Cauchy distribution plays an important role in Probability Theory and Statistics. In this paper, we investigate the estimation of the location and the scale parame...
111
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IPSN
2005
Springer
15 years 4 months ago
2005
Springer
— Sensor networks (SNETs) for monitoring spatial phenomena has emerged as an area of significant practical interest. We focus on the important problem of detection of distribute...
104
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NIPS
2001
15 years 4 days ago
2001
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
ICPR
2008
IEEE
15 years 12 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
ICDM
2009
IEEE
15 years 5 months ago
2009
IEEE
Given a data matrix, the problem of finding dense/uniform sub-blocks in the matrix is becoming important in several applications. The problem is inherently combinatorial since th...