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» Using Distance Estimates in Heuristic Search
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BTW
2007
Springer
183views Database» more  BTW 2007»
14 years 2 months ago
Efficient Reverse k-Nearest Neighbor Estimation
: The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified query object, has received increasing a...
Elke Achtert, Christian Böhm, Peer Kröge...
DAC
2007
ACM
14 years 11 months ago
An Effective Guidance Strategy for Abstraction-Guided Simulation
tive Guidance Strategy for Abstraction-Guided Simulation Flavio M. De Paula Alan J. Hu Department of Computer Science, University of British Columbia, {depaulfm, ajh}@cs.ubc.ca D...
Flavio M. de Paula, Alan J. Hu
BMCBI
2005
121views more  BMCBI 2005»
13 years 10 months ago
Automated methods of predicting the function of biological sequences using GO and BLAST
Background: With the exponential increase in genomic sequence data there is a need to develop automated approaches to deducing the biological functions of novel sequences with hig...
Craig E. Jones, Ute Baumann, Alfred L. Brown
ADBIS
2007
Springer
117views Database» more  ADBIS 2007»
14 years 4 months ago
Improving the Performance of M-Tree Family by Nearest-Neighbor Graphs
The M-tree and its variants have been proved to provide an efficient similarity search in database environments. In order to further improve their performance, in this paper we pro...
Tomás Skopal, David Hoksza
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
14 years 3 months ago
Fitness-based neighbor selection for multimodal function optimization
We propose a selection scheme called Fitness-based Neighbor Selection (FNS) for multimodal optimization. The FNS is aimed for ill-scaled and locally multimodal domain, both found ...
Shin Ando, Shigenobu Kobayashi