Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
It is important to provide adaptive data processing in wireless sensor networks in order to deal with various applications. In this paper,we propose a WIreless Sensor Networks Ont...
Abstract. This work proposes LEASE, a novel Mobile-P2P lease-based economic incentive model, in which data requestors need to pay the price (in virtual currency) of their requested...
—We review the principles of Minimum Description Length and Stochastic Complexity as used in data compression and statistical modeling. Stochastic complexity is formulated as the...
Centroid Classifier has been shown to be a simple and yet effective method for text categorization. However, it is often plagued with model misfit (or inductive bias) incurred by i...