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...
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...
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 ...
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...
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...