Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
This paper considers the implementation of an annealing technique for dynamic power reduction in FPGAs. The proposed method comprises a power-aware objective function for placemen...
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
: Much of knowledge modeling in the molecular biology domain involves interactions between proteins, genes, various forms of RNA, small molecules, etc. Interactions between these s...
Constraints are used in traditional database systems to define consistent database states. For multimedia data it is also important to define constraints for a correct data outp...