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PODS
2001
ACM
127views Database» more  PODS 2001»
16 years 7 months ago
Optimal Aggregation Algorithms for Middleware
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...
Ronald Fagin, Amnon Lotem, Moni Naor
AUSAI
2003
Springer
16 years 9 days ago
Choosing Learning Algorithms Using Sign Tests with High Replicability
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...
Remco R. Bouckaert
BMCBI
2010
158views more  BMCBI 2010»
15 years 7 months ago
Validation of differential gene expression algorithms: Application comparing fold-change estimation to hypothesis testing
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...
Corey M. Yanofsky, David R. Bickel
BMCBI
2008
142views more  BMCBI 2008»
15 years 7 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
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...
Fang-Xiang Wu
ICDT
2010
ACM
137views Database» more  ICDT 2010»
15 years 6 months ago
A Greedy Algorithm for Constructing a Low-Width Generalized Hypertree Decomposition
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...
Kaoru Katayama, Tatsuro Okawara, Yuka Itou