Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Network performance measurement and prediction is one of the most prominent and indispensable components in distributed computing environments. The selection of the most advantage...
We propose a quantitative model for human smooth pursuit tracking of a continuously moving visual target which is based on synchronization of an internal expectancy model of the ta...
Henning U. Voss, Bruce D. McCandliss, Jamshid Ghaj...
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
Abstract—Indirect jumps are used to implement increasinglycommon programming language constructs such as virtual function calls, switch-case statements, jump tables, and interfac...