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IWPEC
2010
Springer
13 years 6 months ago
Partial Kernelization for Rank Aggregation: Theory and Experiments
RANK AGGREGATION is important in many areas ranging from web search over databases to bioinformatics. The underlying decision problem KEMENY SCORE is NP-complete even in case of fo...
Nadja Betzler, Robert Bredereck, Rolf Niedermeier
WAIM
2010
Springer
13 years 6 months ago
An Efficient Approach for Mining Segment-Wise Intervention Rules in Time-Series Streams
Huge time-series stream data are collected every day from many areas, and their trends may be impacted by outside events, hence biased from its normal behavior. This phenomenon is ...
Yue Wang, Jie Zuo, Ning Yang, Lei Duan, Hong-Jun L...
ACL
2012
11 years 11 months ago
Learning Better Rule Extraction with Translation Span Alignment
This paper presents an unsupervised approach to learning translation span alignments from parallel data that improves syntactic rule extraction by deleting spurious word alignment...
Jingbo Zhu, Tong Xiao, Chunliang Zhang
ICSM
2008
IEEE
14 years 3 months ago
Experiences in modularizing business rules into aspects
This paper provides an experience report on the use of aspect-oriented technology as a means to modularize the implementation of business rules in an object-oriented, large scale ...
Andy Kellens, Kris De Schutter, Theo D'Hondt, Vivi...
MCS
2000
Springer
14 years 11 days ago
Experiments with Classifier Combining Rules
Abstract. A large experiment on combining classifiers is reported and discussed. It includes, both, the combination of different classifiers on the same feature set and the combina...
Robert P. W. Duin, David M. J. Tax