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BMCBI
2011
13 years 2 months ago
Motif-guided sparse decomposition of gene expression data for regulatory module identification
Background: Genes work coordinately as gene modules or gene networks. Various computational approaches have been proposed to find gene modules based on gene expression data; for e...
Ting Gong, Jianhua Xuan, Li Chen, Rebecca B. Riggi...
CIBCB
2008
IEEE
14 years 2 months ago
An information theoretic approach for the discovery of irregular and repetitive patterns in genomic data
sequence content at an abstract level and offers novel ways to examine the information contained in them. Our approach is an information theoretic search process which uses patter...
Willard Davis, Ananth Kalyanaraman, Diane J. Cook
ICMLA
2003
13 years 9 months ago
Reinforcement Learning Task Clustering
This work represents the first step towards a task library system in the reinforcement learning domain. Task libraries could be useful in speeding up the learning of new tasks th...
James L. Carroll, Todd S. Peterson, Kevin D. Seppi
IPPS
2005
IEEE
14 years 1 months ago
Performance Implications of Periodic Checkpointing on Large-Scale Cluster Systems
Large-scale systems like BlueGene/L are susceptible to a number of software and hardware failures that can affect system performance. Periodic application checkpointing is a commo...
Adam J. Oliner, Ramendra K. Sahoo, José E. ...
ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
14 years 27 days ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010