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SIGIR
2008
ACM
15 years 6 months ago
A study of learning a merge model for multilingual information retrieval
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
Ming-Feng Tsai, Yu-Ting Wang, Hsin-Hsi Chen
AIR
2004
113views more  AIR 2004»
15 years 6 months ago
Class Noise vs. Attribute Noise: A Quantitative Study
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
Xingquan Zhu, Xindong Wu
ALGORITHMICA
2002
120views more  ALGORITHMICA 2002»
15 years 6 months ago
An Experimental Study of Algorithms for Weighted Completion Time Scheduling
We consider the total weighted completion time scheduling problem for parallel identical machines and precedence constraints, P jprecj PwiCi. This important and broad class of pro...
Ivan D. Baev, Waleed Meleis, Alexandre E. Eichenbe...
EUROPAR
2000
Springer
15 years 10 months ago
On the Performance of Fetch Engines Running DSS Workloads
Abstract This paper examines the behavior of current and next generation microprocessors' fetch engines while running Decision Support Systems (DSS) workloads. We analyze the ...
Carlos Navarro, Alex Ramírez, Josep-Lluis L...
ATAL
2008
Springer
15 years 9 months ago
Evaluating the performance of DCOP algorithms in a real world, dynamic problem
Complete algorithms have been proposed to solve problems modelled as distributed constraint optimization (DCOP). However, there are only few attempts to address real world scenari...
Robert Junges, Ana L. C. Bazzan