Semi-naive Bayesian classifiers seek to retain the numerous strengths of naive Bayes while reducing error by weakening the attribute independence assumption. Backwards Sequential ...
Recent research for testable designs has focussed on inserting test structures by re-arranging an Register-TransferLevel (RTL) data path generated from a behavioural description t...
In this paper we present a sublinear time (1+ )-approximation randomized algorithm to estimate the weight of the minimum spanning tree of an n-point metric space. The running time...
—Multiple input multiple output (MIMO) system has been recognized as a promising candidate for future wireless communication. The adaptive modulation which adjusts the transmitte...
Feng Jiang, Ying Wang, Xi Fang, Kai Sun, Guona Hu,...
Abstract. A current challenge in wireless sensor networks is the positioning of sensor nodes for indoor environments without dedicated hardware. Especially in this domain, many app...