In this paper, we compare running the Linux operating system on the compute nodes of ASCI Red hardware to running a specialized, highly-optimized lightweight kernel (LWK) operatin...
Ron Brightwell, Rolf Riesen, Keith D. Underwood, T...
This paper presents a semi-supervised kernel-based fuzzy c-means algorithm called S2KFCM by introducing semi-supervised learning technique and the kernel method simultaneously into...
This article gives ideas for developing statistics software which can work without user intervention. Some popular methods of bandwidth selection for kernel density estimation (the...
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
The ability to checkpoint a running application and restart it later can provide many useful benefits including fault recovery, advanced resources sharing, dynamic load balancing...