A cascade model is a rule induction methodology using levelwise expansion of an itemset lattice, where the explanatory power of a rule set and its constituent rules are quantitativ...
One of the most important issues for ubiquitous computing is the problem of encrypting content in the devices, as the heterogeneity in the devices nature, capabilities, mobility an...
In designing learning algorithms it seems quite reasonable to construct them in such a way that all data the algorithm already has obtained are correctly and completely reflected...
Researchers have proposed using hardware data compression units within the memory hierarchies of microprocessors in order to improve performance, energy efficiency, and functional...
Xi Chen, Lei Yang, Haris Lekatsas, Robert P. Dick,...
We evaluate the leakage reduction for both instruction and data cache in presence of drowsy or decay techniques. We discovered that a filter cache, traditionally used for reducing...