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TVCG
2011
132views more  TVCG 2011»
14 years 6 months ago
Point-Based Visualization for Large Hierarchies
—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...
Hans-Jörg Schulz, Steffen Hadlak, Heidrun Sch...
ECML
2006
Springer
15 years 3 months ago
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery
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 ...
Scott Proper, Prasad Tadepalli
DOCENG
2007
ACM
15 years 3 months ago
A document object modeling method to retrieve data from a very large XML document
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...
CORR
2006
Springer
109views Education» more  CORR 2006»
14 years 12 months ago
On Conditional Branches in Optimal Decision Trees
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...
Michael B. Baer
PODC
2009
ACM
16 years 10 days ago
Brief announcement: minimum spanning trees and cone-based topology control
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...
Alejandro Cornejo, Nancy A. Lynch