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ISAAC
1994
Springer
80views Algorithms» more  ISAAC 1994»
13 years 11 months ago
Unifying Themes for Network Selection
In this paper we present efficient deterministic and randomized algorithms for selection on any interconnection network when the number of input keys (n) is the number of processo...
Sanguthevar Rajasekaran, Wang Chen, Shibu Yooseph
ESANN
2008
13 years 9 months ago
On related violating pairs for working set selection in SMO algorithms
Sequential Minimal Optimization (SMO) is currently the most popular algorithm to solve large quadratic programs for Support Vector Machine (SVM) training. For many variants of this...
Tobias Glasmachers
IJON
2006
73views more  IJON 2006»
13 years 7 months ago
Optimal selection of time lags for TDSEP based on genetic algorithm
In this letter, a two-step learning scheme for the optimal selection of time lags is proposed for a typical temporal blind source separation (TBSS), Temporal Decorrelation source ...
Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li S...
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
14 years 8 months ago
Systematic data selection to mine concept-drifting data streams
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
Wei Fan
SIGMOD
2007
ACM
181views Database» more  SIGMOD 2007»
14 years 7 months ago
Progressive and selective merge: computing top-k with ad-hoc ranking functions
The family of threshold algorithm (i.e., TA) has been widely studied for efficiently computing top-k queries. TA uses a sort-merge framework that assumes data lists are pre-sorted...
Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang