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» A Bayesian Approach to Tackling Hard Computational Problems
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SIGIR
2004
ACM
14 years 3 months ago
Knowing Where to Search: Personalized Search Strategies for Peers in P2P Networks
Optimizing and focusing search and results ranking in P2P networks becomes more and more important with the increasing size of these networks. Even though a few approaches have al...
Paul-Alexandru Chirita, Wolfgang Nejdl, Oana Scurt...
COORDINATION
2006
Springer
14 years 2 months ago
A WSDL-Based Type System for WS-BPEL
We tackle the problem of providing rigorous formal foundations to current software engineering technologies for web services. We focus on two of the most used XML-based languages f...
Alessandro Lapadula, Rosario Pugliese, Francesco T...
ACL
2012
12 years 25 days ago
Enhancing Statistical Machine Translation with Character Alignment
The dominant practice of statistical machine translation (SMT) uses the same Chinese word segmentation specification in both alignment and translation rule induction steps in buil...
Ning Xi, Guangchao Tang, Xinyu Dai, Shujian Huang,...
IDA
2002
Springer
13 years 10 months ago
Optimization of association rule mining queries
Levelwise algorithms (e.g., the Apriori algorithm) have been proved eective for association rule mining from sparse data. However, in many practical applications, the computation ...
Baptiste Jeudy, Jean-François Boulicaut
IC3
2009
13 years 8 months ago
Local Subspace Based Outlier Detection
Abstract. Existing studies in outlier detection mostly focus on detecting outliers in full feature space. But most algorithms tend to break down in highdimensional feature spaces b...
Ankur Agrawal