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» On the Complexity of Function Learning
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SIGMOD
2007
ACM
181views Database» more  SIGMOD 2007»
16 years 4 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
ARITH
2007
IEEE
15 years 10 months ago
Worst Cases of a Periodic Function for Large Arguments
One considers the problem of finding hard to round cases of a periodic function for large floating-point inputs, more precisely when the function cannot be efficiently approxim...
Guillaume Hanrot, Vincent Lefèvre, Damien S...
MIMI
2007
Springer
15 years 10 months ago
Gender Effect on Functional Networks in Resting Brain
Previous studies have witnessed that complex brain networks have the properties of high global and local efficiency. In this study, we investigated the gender effect on brain funct...
Liang Wang, Chaozhe Zhu, Yong He, Qiuhai Zhong, Yu...
ATAL
2004
Springer
15 years 9 months ago
Fitting and Compilation of Multiagent Models through Piecewise Linear Functions
Decision-theoretic models have become increasingly popular as a basis for solving agent and multiagent problems, due to their ability to quantify the complex uncertainty and prefe...
David V. Pynadath, Stacy Marsella
GECCO
2003
Springer
108views Optimization» more  GECCO 2003»
15 years 9 months ago
Evolution Strategies with Exclusion-Based Selection Operators and a Fourier Series Auxiliary Function
Abstract. To improve the efficiency of the currently known evolutionary algorithms, we have proposed two complementary efficiency speed-up strategies in our previous research work ...
Kwong-Sak Leung, Yong Liang