518 search results - page 75 / 104 » Estimating Missing Data in Data Streams |
CGO
2006
IEEE
15 years 1 months ago
2006
IEEE
Modern computer systems are called on to deal with billions of events every second, whether they are instructions executed, memory locations accessed, or packets forwarded. This p...
AMAI
2004
Springer
15 years 3 months ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
JCB
2006
14 years 9 months ago
2006
A commonly used tool in disease association studies is the search for discrepancies between the haplotype distribution in the case and control populations. In order to find this d...
64
Voted
WCE
2007
14 years 10 months ago
2007
— Imputation of missing data is important in many areas, such as reducing non-response bias in surveys and maintaining medical documentation. Estimating the uncertainty inherent ...
59
Voted
JSS
2006
2006
An empirical study of process-related attributes in segmented software cost-estimation relationships
14 years 9 months ago
Parametric software effort estimation models consisting on a single mathematical relationship suffer from poor adjustment and predictive characteristics in cases in which the hist...