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AAAI
2007
13 years 10 months ago
Combining Multiple Heuristics Online
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...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
ICDE
2012
IEEE
252views Database» more  ICDE 2012»
11 years 10 months ago
Approximate String Membership Checking: A Multiple Filter, Optimization-Based Approach
— 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 ...
Chong Sun, Jeffrey F. Naughton, Siddharth Barman
ECCV
2008
Springer
14 years 9 months ago
Robust Multiple Structures Estimation with J-Linkage
This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual da...
Roberto Toldo, Andrea Fusiello
CPAIOR
2008
Springer
13 years 9 months ago
Integrating Symmetry, Dominance, and Bound-and-Bound in a Multiple Knapsack Solver
Abstract. The multiple knapsack problem (MKP) is a classical combinatorial optimization problem. A recent algorithm for some classes of the MKP is bin-completion, a bin-oriented, b...
Alex S. Fukunaga
BMCBI
2005
107views more  BMCBI 2005»
13 years 7 months ago
Identifying differential expression in multiple SAGE libraries: an overdispersed log-linear model approach
Background: In testing for differential gene expression involving multiple serial analysis of gene expression (SAGE) libraries, it is critical to account for both between and with...
Jun Lu, John K. Tomfohr, Thomas B. Kepler