The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, S...
The problem of writing high performance parallel applications becomes even more challenging when irregular, sparse or adaptive methods are employed. In this paper we introduce com...
Uncorrupted log files are the critical system component for computer forensics in case of intrusion and for real time system monitoring and auditing. Protection from tampering wit...
Straightforward classification using kernelized SVMs requires evaluating the kernel for a test vector and each of the support vectors. For a class of kernels we show that one can ...
Emulation sits between simulation and experimentation to complete the set of tools available for software designers to evaluate their software and predict behavior under condition...