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» Kolmogorov-Loveland Randomness and Stochasticity
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COCO
2003
Springer
93views Algorithms» more  COCO 2003»
14 years 1 months ago
The complexity of stochastic sequences
We review and slightly strengthen known results on the Kolmogorov complexity of prefixes of effectively random sequences. First, there are recursively random random sequences su...
Wolfgang Merkle
ICTAI
2009
IEEE
13 years 6 months ago
Stochastic Offline Programming
We propose a framework which we call stochastic offline programming (SOP). The idea is to embed the development of combinatorial algorithms in an off-line learning environment whi...
Yuri Malitsky, Meinolf Sellmann
JMLR
2010
152views more  JMLR 2010»
13 years 3 months ago
Stochastic Composite Likelihood
Maximum likelihood estimators are often of limited practical use due to the intensive computation they require. We propose a family of alternative estimators that maximize a stoch...
Joshua V. Dillon, Guy Lebanon
ICASSP
2011
IEEE
13 years 13 days ago
Stochastic analysis of two-tier networks: Effect of spectrum allocation
Recently, there is an increasing interest in the deployment of femto access points (FAPs), which are short-range low-power home basestations, over a macro cellular network to impr...
Wang Chi Cheung, Tony Q. S. Quek, Marios Kountouri...
WIOPT
2010
IEEE
13 years 6 months ago
A stochastic geometry model for the best signal quality in a wireless network
Abstract--In a wireless network composed of randomly scattered nodes, the characterization of the distribution of the best signal quality received from a group of nodes is of prima...
Van Minh Nguyen, François Baccelli