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» Two Consistency Results on Set Mappings
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BMCBI
2004
127views more  BMCBI 2004»
15 years 6 months ago
Optimized LOWESS normalization parameter selection for DNA microarray data
Background: Microarray data normalization is an important step for obtaining data that are reliable and usable for subsequent analysis. One of the most commonly utilized normaliza...
John A. Berger, Sampsa Hautaniemi, Anna-Kaarina J&...
IPTPS
2005
Springer
15 years 11 months ago
Evaluating DHT-Based Service Placement for Stream-Based Overlays
Stream-based overlay networks (SBONs) are one approach to implementing large-scale stream processing systems. A fundamental consideration in an SBON is that of service placement, ...
Peter R. Pietzuch, Jeffrey Shneidman, Jonathan Led...
RTA
2010
Springer
15 years 10 months ago
Automata for Data Words and Data Trees
Data words and data trees appear in verification and XML processing. The term “data” means that positions of the word, or tree, are decorated with elements of an infinite set...
Mikolaj Bojanczyk
BMCBI
2006
164views more  BMCBI 2006»
15 years 6 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
DIS
2009
Springer
16 years 26 days ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar