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» A Probabilistic Approach to Predict Peers
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IJCAI
2007
15 years 5 months ago
Learning User Clicks in Web Search
Machine learning for predicting user clicks in Webbased search offers automated explanation of user activity. We address click prediction in the Web search scenario by introducing...
Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, H...
ICDE
2011
IEEE
247views Database» more  ICDE 2011»
14 years 7 months ago
Process flexibility through customizable activities: A mashup-based approach
Abstract— In several contexts, the success of Workflow applications is limited by the excess of rigidity of workflow enactment, which leaves no freedom to end-users to “custo...
Marco Fisichella, Maristella Matera
144
Voted
CIKM
2005
Springer
15 years 9 months ago
Information retrieval and machine learning for probabilistic schema matching
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distribute...
Henrik Nottelmann, Umberto Straccia
RECOMB
2002
Springer
16 years 4 months ago
From promoter sequence to expression: a probabilistic framework
We present a probabilistic framework that models the process by which transcriptional binding explains the mRNA expression of different genes. Our joint probabilistic model unifie...
Eran Segal, Yoseph Barash, Itamar Simon, Nir Fried...
126
Voted
CSB
2004
IEEE
15 years 7 months 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