380 search results - page 29 / 76 » Improving Data Quality: Consistency and Accuracy |
ICANN
2003
Springer
14 years 3 months ago
2003
Springer
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
KDD
1995
ACM
14 years 1 months ago
1995
ACM
This paper introduces a new measurement, robustness, to measure the quality of machine-discovered knowledge from real-world databases that change over time. A piece of knowledge i...
UAI
1997
13 years 11 months ago
1997
We consider probabilistic inference in general hybrid networks, which include continuous and discrete variables in an arbitrary topology. We reexamine the question of variable dis...
BMCBI
2008
13 years 10 months ago
2008
Background: It is an important pre-processing step to accurately estimate missing values in microarray data, because complete datasets are required in numerous expression profile ...