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» Combining Methods for Dynamic Multiple Classifier Systems
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VISUALIZATION
2000
IEEE
15 years 5 months ago
A level-set method for flow visualization
In this paper we propose a technique for visualizing steady flow. Using this technique, we first convert the vector field data into a scalar level-set representation. We then a...
Rüdiger Westermann, Christopher Johnson, Thom...
103
Voted
BMCBI
2010
115views more  BMCBI 2010»
15 years 22 days ago
Integration of multiple data sources to prioritize candidate genes using discounted rating system
Background: Identifying disease gene from a list of candidate genes is an important task in bioinformatics. The main strategy is to prioritize candidate genes based on their simil...
Yongjin Li, Jagdish Chandra Patra
109
Voted
IEEEPACT
1998
IEEE
15 years 4 months ago
Static Methods in Hybrid Branch Prediction
Hybrid branch predictors combine the predictions of multiple single-level or two-level branch predictors. The prediction-combining hardware -- the "meta-predictor" -may ...
Dirk Grunwald, Donald C. Lindsay, Benjamin G. Zorn
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
16 years 1 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
99
Voted
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
15 years 1 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...