This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
This paper describes the incremental generation of parse tables for the LR-type parsing of Tree Adjoining Languages (TALs). The algorithm presented handles modications to the inp...
In this paper we propose a generative statistical approach for the three dimensional (3D) extraction of the branching structure of unfoliaged deciduous trees from urban image seque...
TRACT SPECIFICATIONS FEI XIA AND MARTHA PALMER Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104 K. VIJAY-SHANKER Department of Com...
We present a new model for generating network applications. Our model is based on trees communicating with each other. Our model is simple to understand, but yet powerful enough to...