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» Scalable, updatable predictive models for sequence data
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CSB
2004
IEEE
14 years 22 days ago
MISAE: A New Approach for Regulatory Motif Extraction
The recognition of regulatory motifs of co-regulated genes is essential for understanding the regulatory mechanisms. However, the automatic extraction of regulatory motifs from a ...
Zhaohui Sun, Jingyi Yang, Jitender S. Deogun
TPDS
2008
130views more  TPDS 2008»
13 years 8 months ago
NFS-CD: Write-Enabled Cooperative Caching in NFS
We present the Network File System with Cluster Delegation (NFS-CD), an enhancement to the NFSv4 that reduces server load and increases the scalability of distributed file systems ...
Alexandros Batsakis, Randal C. Burns
ROCAI
2004
Springer
14 years 2 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
BMCBI
2007
111views more  BMCBI 2007»
13 years 9 months ago
CATMA, a comprehensive genome-scale resource for silencing and transcript profiling of Arabidopsis genes
Background: The Complete Arabidopsis Transcript MicroArray (CATMA) initiative combines the efforts of laboratories in eight European countries [1] to deliver gene-specific sequenc...
Gert Sclep, Joke Allemeersch, Robin Liechti, Bj&ou...
PODS
2012
ACM
240views Database» more  PODS 2012»
11 years 11 months ago
Approximate computation and implicit regularization for very large-scale data analysis
Database theory and database practice are typically the domain of computer scientists who adopt what may be termed an algorithmic perspective on their data. This perspective is ve...
Michael W. Mahoney