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» Generality Is Predictive of Prediction Accuracy
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143
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IJCAI
2003
15 years 5 months ago
Constructing Diverse Classifier Ensembles using Artificial Training Examples
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
Prem Melville, Raymond J. Mooney
133
Voted
ICIP
2003
IEEE
16 years 5 months ago
Non-linear 3D rendering workload prediction based on a combined fuzzy-neural network architecture for grid computing application
Although, computational Grid has been initially developed to solve large-scale scientific research problems, it is extended for commercial and industrial applications. An interest...
John K. Doulamis, Anastasios D. Doulamis
124
Voted
IPPS
2008
IEEE
15 years 10 months ago
Low power/area branch prediction using complementary branch predictors
Although high branch prediction accuracy is necessary for high performance, it typically comes at the cost of larger predictor tables and/or more complex prediction algorithms. Un...
Resit Sendag, Joshua J. Yi, Peng-fei Chuang, David...
CIBCB
2009
IEEE
15 years 5 months ago
Improved prediction of trans-membrane spans in proteins using an artificial neural network
Tools for the identification of trans-membrane spans from the protein sequence are widely used in the experimental community. Computational structural biology seeks to increase the...
Julia Koehler, Ralf Mueller, Jens Meiler
173
Voted
ICSE
2012
IEEE-ACM
13 years 6 months ago
Predicting performance via automated feature-interaction detection
Abstract—Customizable programs and program families provide user-selectable features to allow users to tailor a program to an application scenario. Knowing in advance which featu...
Norbert Siegmund, Sergiy S. Kolesnikov, Christian ...