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126
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AAAI
2007
15 years 5 months ago
2007
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
109
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
In this paper, we propose an Active Learning (AL) framework for the Multi-Task Adaptive Filtering (MTAF) problem. Specifically, we explore AL approaches to rapidly improve an MTAF...
212
Voted
ICDE
2012
IEEE
13 years 6 months ago
2012
IEEE
— We consider the approximate string membership checking (ASMC) problem of extracting all the strings or substrings in a document that approximately match some string in a given ...
119
Voted
EUROCRYPT
2009
Springer
16 years 4 months ago
2009
Springer
Currently, there are relatively few instances of "hash-and-sign" signatures in the standard model. Moreover, most current instances rely on strong and less studied assum...
128
Voted
CEC
2007
IEEE
15 years 9 months ago
2007
IEEE
— Calibrating an evolutionary algorithm (EA) means finding the right values of algorithm parameters for a given problem. This issue is highly relevant, because it has a high imp...