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CIBCB
2009
IEEE
15 years 8 months ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...
GRID
2008
Springer
15 years 8 months ago
Which network measurement tool is right for you? a multidimensional comparison study
Network performance measurement and prediction is one of the most prominent and indispensable components in distributed computing environments. The selection of the most advantage...
Esma Yildirim, Ibrahim H. Suslu, Tevfik Kosar
BC
2007
62views more  BC 2007»
15 years 7 months ago
A quantitative synchronization model for smooth pursuit target tracking
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...
ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
15 years 7 months ago
Parallelizing Feature Selection
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...
CAL
2007
15 years 6 months ago
Dynamic Predication of Indirect Jumps
Abstract—Indirect jumps are used to implement increasinglycommon programming language constructs such as virtual function calls, switch-case statements, jump tables, and interfac...
José A. Joao, Onur Mutlu, Hyesoon Kim, Yale...