A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
Profilers play an important role in software/hardware design, optimization, and verification. Various approaches have been proposed to implement profilers. The most widespread app...
Lei Gao, Jia Huang, Jianjiang Ceng, Rainer Leupers...
—Modern micro-architecture simulators are many orders of magnitude slower than the hardware they simulate. The use of multiprocessor architectures for supporting future mobile an...
Distributed data mining (DDM) is the semi-automatic pattern extraction of distributed data sources. The next generation of the data mining studies will be distributed data mining ...
Ezendu Ifeanyi Ariwa, Mohamed B. Senousy, Mohamed ...
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...