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» The Tree Inclusion Problem: In Linear Space and Faster
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CSDA
2008
128views more  CSDA 2008»
14 years 9 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
AAAI
1996
14 years 10 months ago
Improved Limited Discrepancy Search
We present an improvement to Harvey and Ginsberg's limited discrepancy search algorithm, which eliminates much of the redundancy in the original, by generating each path from...
Richard E. Korf
CVPR
2000
IEEE
15 years 11 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer
SODA
2000
ACM
132views Algorithms» more  SODA 2000»
14 years 10 months ago
Expected-case complexity of approximate nearest neighbor searching
Most research in algorithms for geometric query problems has focused on their worstcase performance. However, when information on the query distribution is available, the alternat...
Sunil Arya, Ho-Yam Addy Fu
96
Voted
ISCC
2006
IEEE
154views Communications» more  ISCC 2006»
15 years 3 months ago
Decentralized Load Balancing for Highly Irregular Search Problems
In this paper, we present a Dynamic Load Balancing (DLB) policy for problems characterized by a highly irregular search tree, whereby no reliable workload prediction is available....
Giuseppe Di Fatta, Michael R. Berthold