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» A Computational Model for Metric Spaces
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BMCBI
2008
111views more  BMCBI 2008»
13 years 9 months ago
MLIP: using multiple processors to compute the posterior probability of linkage
Background: Localization of complex traits by genetic linkage analysis may involve exploration of a vast multidimensional parameter space. The posterior probability of linkage (PP...
Manika Govil, Alberto Maria Segre, Veronica J. Vie...
EDBT
2010
ACM
185views Database» more  EDBT 2010»
13 years 11 months ago
Probabilistic threshold k nearest neighbor queries over moving objects in symbolic indoor space
The availability of indoor positioning renders it possible to deploy location-based services in indoor spaces. Many such services will benefit from the efficient support for k n...
Bin Yang 0002, Hua Lu, Christian S. Jensen
SIGMETRICS
2008
ACM
116views Hardware» more  SIGMETRICS 2008»
13 years 9 months ago
Optimal sampling in state space models with applications to network monitoring
Advances in networking technology have enabled network engineers to use sampled data from routers to estimate network flow volumes and track them over time. However, low sampling ...
Harsh Singhal, George Michailidis
ICDCS
1999
IEEE
14 years 1 months ago
Search Space Reduction in QoS Routing
To provide real-time service or engineer constrained-based paths, networks require the underlying routing algorithm to be able to find low-cost paths that satisfy given Quality-of...
Liang Guo, Ibrahim Matta
ACL
1994
13 years 10 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick