Multicasting is an important communication mechanism for implementing real-time multimedia applications, which usually require the underlying network to provide a number of quality...
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
In this paper we address the problem of how to learn a structural prototype that can be used to represent the variations present in a set of trees. The prototype serves as a patte...
This paper presents a method for representing trees using constraint logic programming over finite domains. We describe a class of trees that is of particular interest to us and h...
BSP trees and KD trees are fundamental data structures for collision detection in walkthrough environments. A basic issue in the construction of these hierarchical data structures...