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ESCIENCE
2006
IEEE
13 years 10 months ago
Soft Benchmarks-Based Application Performance Prediction Using a Minimum Training Set
Application execution time prediction is of key importance in making decisions about efficient usage of Grid resources. Grid services lack support of a generic application executi...
Farrukh Nadeem, Muhammad Murtaza Yousaf, Radu Prod...
ICPR
2006
IEEE
14 years 7 months ago
Feature selection based on the training set manipulation
A novel filter feature selection technique is introduced. The method exploits the information conveyed by the evolution of the training samples weights similarly to the Adaboost a...
Pavel Krízek, Josef Kittler, Václav ...
HIS
2008
13 years 8 months ago
Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Salvador García, Francisco Herrera
COLING
2010
13 years 1 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
JDCTA
2010
103views more  JDCTA 2010»
13 years 1 months ago
WEB-based Modeling and Simulation Technology in the Training of Power Plant Application -A Set of Steam Turbine for Instance
Electric power generation requires a great deal of production equipment, such as steam turbines, boilers, etc., how to insure the well-run condition of such equipment is the key f...
Hongjun Guan