548 search results - page 81 / 110 » Iterated importance sampling in missing data problems |
88
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
We propose a method that detects the true direction of time series, by fitting an autoregressive moving average model to the data. Whenever the noise is independent of the previou...
105
Voted
CAV
2006
Springer
15 years 4 months ago
2006
Springer
This paper addresses the problem of computing symbolically the set of reachable configurations of a linear hybrid automaton. A solution proposed in earlier work consists in explori...
102
Voted
KDD
2005
ACM
16 years 1 months ago
2005
ACM
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
114
Voted
ICCAD
2009
IEEE
14 years 10 months ago
2009
IEEE
With increasing process variation, binning has become an important technique to improve the values of fabricated chips, especially in high performance microprocessors where transpa...
106
click to vote
ICDM
2005
IEEE
15 years 6 months ago
2005
IEEE
Combining multiple clusterings arises in various important data mining scenarios. However, finding a consensus clustering from multiple clusterings is a challenging task because ...