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FUIN
2010
114views more  FUIN 2010»
15 years 1 months ago
Feature Selection via Maximizing Fuzzy Dependency
Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...
Qinghua Hu, Pengfei Zhu, Jinfu Liu, Yongbin Yang, ...
ML
2010
ACM
147views Machine Learning» more  ML 2010»
15 years 1 months ago
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning
This paper proposes a new measure for ensemble pruning via directed hill climbing, dubbed Uncertainty Weighted Accuracy (UWA), which takes into account the uncertainty of the decis...
Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. ...
MMB
2012
Springer
259views Communications» more  MMB 2012»
14 years 2 months ago
Boosting Design Space Explorations with Existing or Automatically Learned Knowledge
Abstract. During development, processor architectures can be tuned and configured by many different parameters. For benchmarking, automatic design space explorations (DSEs) with h...
Ralf Jahr, Horia Calborean, Lucian Vintan, Theo Un...
SIGMOD
2002
ACM
119views Database» more  SIGMOD 2002»
16 years 6 months ago
Rate-based query optimization for streaming information sources
Relational query optimizers have traditionally relied upon table cardinalities when estimating the cost of the query plans they consider. While this approach has been and continue...
Stratis Viglas, Jeffrey F. Naughton
KBSE
2008
IEEE
16 years 27 days ago
Architecting for evolvability by means of traceability and features
The frequent changes during the development and usage of large software systems often lead to a loss of architectural quality which hampers the implementation of further changes a...
Robert Brcina, Matthias Riebisch