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» Fast heuristics for large scale covering-location problems
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CP
2003
Springer
15 years 2 months ago
A SAT-Based Approach to Multiple Sequence Alignment
Multiple sequence alignment is a central problem in Bioinformatics. A known integer programming approach is to apply branch-and-cut to exponentially large graph-theoretic models. T...
Steven David Prestwich, Desmond G. Higgins, Orla O...
SIAMAM
2002
129views more  SIAMAM 2002»
14 years 9 months ago
Periodic Wavelet Transforms and Periodicity Detection
The theory of periodic wavelet transforms presented here was originally developed to deal with the problem of epileptic seizure prediction. A central theorem in the theory is the c...
Götz E. Pfander, John J. Benedetto
TROB
2010
58views more  TROB 2010»
14 years 8 months ago
Localization: Approximation and Performance Bounds to Minimize Travel Distance
Abstract—Localization, which is the determination of one’s location in a known terrain, is a fundamental task for autonomous robots. This paper presents several new basic theor...
Craig A. Tovey, Sven Koenig
83
Voted
PPOPP
2010
ACM
15 years 6 months ago
Scalable communication protocols for dynamic sparse data exchange
Many large-scale parallel programs follow a bulk synchronous parallel (BSP) structure with distinct computation and communication phases. Although the communication phase in such ...
Torsten Hoefler, Christian Siebert, Andrew Lumsdai...
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
15 years 3 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore