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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
13 years 9 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
13 years 10 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
KDD
2004
ACM
116views Data Mining» more  KDD 2004»
13 years 11 months ago
A system for automated mapping of bill-of-materials part numbers
Part numbers are widely used within an enterprise throughout the manufacturing process. The point of entry of such part numbers into this process is normally via a Bill of Materia...
Jayant Kalagnanam, Moninder Singh, Sudhir Verma, M...
KDD
2004
ACM
163views Data Mining» more  KDD 2004»
14 years 6 months ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi
ETRA
2010
ACM
197views Biometrics» more  ETRA 2010»
14 years 18 days ago
Image ranking with implicit feedback from eye movements
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
David R. Hardoon, Kitsuchart Pasupa