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2000
13 years 7 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
JSW
2008
202views more  JSW 2008»
13 years 5 months ago
Change Prediction in Object-Oriented Software Systems: A Probabilistic Approach
An estimation of change-proneness of parts of a software system is an active topic in the area of software engineering. Such estimates can be used to predict changes to different c...
Ali R. Sharafat, Ladan Tahvildari
ECIR
2010
Springer
13 years 7 months ago
Text Clustering for Peer-to-Peer Networks with Probabilistic Guarantees
Text clustering is an established technique for improving quality in information retrieval, for both centralized and distributed environments. However, for highly distributed envir...
Odysseas Papapetrou, Wolf Siberski, Norbert Fuhr
ICDE
2006
IEEE
193views Database» more  ICDE 2006»
14 years 7 months ago
Probabilistic Message Passing in Peer Data Management Systems
Until recently, most data integration techniques involved central components, e.g., global schemas, to enable transparent access to heterogeneous databases. Today, however, with t...
Philippe Cudré-Mauroux, Karl Aberer, Andras...