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99
Voted
PODS
2001
ACM
16 years 26 days ago
2001
ACM
Assume that each object in a database has m grades, or scores, one for each of m attributes. For example, an object can have a color grade, that tells how red it is, and a shape g...
AUSAI
2003
Springer
15 years 6 months ago
2003
Springer
An important task in machine learning is determining which learning algorithm works best for a given data set. When the amount of data is small the same data needs to be used repea...
105
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BMCBI
2010
15 years 26 days ago
2010
Background: Sustained research on the problem of determining which genes are differentially expressed on the basis of microarray data has yielded a plethora of statistical algorit...
108
Voted
BMCBI
2008
15 years 26 days ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
95
Voted
ICDT
2010
ACM
14 years 11 months ago
2010
ACM
We propose a greedy algorithm which, given a hypergraph H and a positive integer k, produces a hypertree decomposition of width less than or equal to 3k −1, or determines that H...