548 search results - page 40 / 110 » Iterated importance sampling in missing data problems |
109
click to vote
BMCBI
2008
14 years 11 months ago
2008
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
ITNG
2010
IEEE
15 years 4 months ago
2010
IEEE
— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
ICPADS
2006
IEEE
15 years 5 months ago
2006
IEEE
In battery powered systems such as wireless sensor networks, energy efficiency is one of the most important system design goals. In this paper, energy efficiency is examined fro...
136
click to vote
BMCBI
2011
14 years 2 months ago
2011
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
158
click to vote
BMCBI
2006
14 years 11 months ago
2006
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...