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» Introduction to Randomized Algorithms
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123
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FSE
2005
Springer
108views Cryptology» more  FSE 2005»
15 years 9 months ago
Unbiased Random Sequences from Quasigroup String Transformations
Abstract. The need of true random number generators for many purposes (ranging from applications in cryptography and stochastic simulation, to search heuristics and game playing) i...
Smile Markovski, Danilo Gligoroski, Ljupco Kocarev
110
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BMCBI
2008
136views more  BMCBI 2008»
15 years 3 months ago
LOMA: A fast method to generate efficient tagged-random primers despite amplification bias of random PCR on pathogens
Background: Pathogen detection using DNA microarrays has the potential to become a fast and comprehensive diagnostics tool. However, since pathogen detection chips currently utili...
Wah-Heng Lee, Christopher W. Wong, Wan Yee Leong, ...
123
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TC
2008
15 years 3 months ago
The Convergence-Guaranteed Random Walk and Its Applications in Peer-to-Peer Networks
Network structure construction and global state maintenance are expensive in large-scale, dynamic peer-to-peer (p2p) networks. With inherent topology independence and low state mai...
Ming Zhong, Kai Shen, Joel I. Seiferas
JAIR
2002
182views more  JAIR 2002»
15 years 3 months ago
An Analysis of Phase Transition in NK Landscapes
In this paper, we analyze the decision version of the NK landscape model from the perspective of threshold phenomena and phase transitions under two random distributions, the unif...
Yong Gao, Joseph C. Culberson
ECCV
2010
Springer
15 years 3 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof