75 search results - page 8 / 15 » Missing Value Estimation for Time Series Microarray Data Usi... |
NIPS
1998
13 years 10 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
ICDM
2010
IEEE
13 years 6 months ago
2010
IEEE
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
INFORMATICALT
2010
13 years 7 months ago
2010
In the previous papers (Pupeikis, 2000; Genov et al., 2006; Atanasov and Pupeikis, 2009), a direct approach for estimating the parameters of a discrete-time linear time-invariant (...
OSS
2007
Springer
14 years 2 months ago
2007
Springer
Free/Open Source Software (F/OSS) repositories contain valuable data and their usefulness in studying software development and community activities continues to attract a lot of re...
HYBRID
2004
Springer
14 years 2 months ago
2004
Springer
We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...