Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Background: The power of haplotype-based methods for association studies, identification of regions under selection, and ancestral inference, is well-established for diploid organ...
Shu-Yi Su, Jonathan White, David J. Balding, Lachl...
Boosted by technology advancements, government and commercial interest, ad-hoc wireless networks are emerging as a serious platform for distributed mission-critical applications. G...
This paper proposes a Layered Model for boundaryscan testing to help identify opportunities for standardization. Serial Vector Format [1] and an accompanying Application Programmi...