—Space-filling layout techniques for tree representations are frequently used when the available screen space is small or the data set is large. In this paper, we propose an ef...
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
Document Object Modeling (DOM) is widely used approach for retrieving data from an XML document. If the size of the XML document is very large, however, using the DOM approach for...
Seung Min Kim, Suk I. Yoo, Eunji Hong, Tae Gwon Ki...
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
Consider a setting where nodes can vary their transmission power thereby changing the network topology, the goal of topology control is to reduce the transmission power while ensu...