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» Algorithms for Challenging Motif Problems
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BMCBI
2005
190views more  BMCBI 2005»
13 years 8 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry
JSAC
2007
133views more  JSAC 2007»
13 years 8 months ago
On broadcasting with cooperative diversity in multi-hop wireless networks
Abstract— Cooperative diversity facilitates spatio-temporal communications without requiring the deployment of physical antenna arrays. While physical layer studies on cooperativ...
Gentian Jakllari, Srikanth V. Krishnamurthy, Micha...
CIKM
2010
Springer
13 years 6 months ago
Multi-view clustering with constraint propagation for learning with an incomplete mapping between views
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
Eric Eaton, Marie desJardins, Sara Jacob
LCTRTS
2010
Springer
13 years 6 months ago
Improving both the performance benefits and speed of optimization phase sequence searches
The issues of compiler optimization phase ordering and selection present important challenges to compiler developers in several domains, and in particular to the speed, code size,...
Prasad A. Kulkarni, Michael R. Jantz, David B. Wha...
PVLDB
2010
139views more  PVLDB 2010»
13 years 2 months ago
Identifying the Most Influential Data Objects with Reverse Top-k Queries
Top-k queries are widely applied for retrieving a ranked set of the k most interesting objects based on the individual user preferences. As an example, in online marketplaces, cus...
Akrivi Vlachou, Christos Doulkeridis, Kjetil N&osl...