Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
The efficiency of service discovery is critical in the development of fully decentralized middleware intended to manage large scale computational grids. This demand influenced t...
In this paper, we describe the program structure tree (PST), a hierarchical representation of program structure based on single entry single exit (SESE) regions of the control flo...
Abstract. We present a novel approach to fully automated reconstruction of tree structures in noisy 2D images. Unlike in earlier approaches, we explicitly handle crossovers and bif...
The need to evaluate expression trees involving large objects arises in scientific computing applications such as electronic structure calculations. Often, the tree node objects a...
Chi-Chung Lam, Daniel Cociorva, Gerald Baumgartner...