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» Graph limits and parameter testing
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AMAI
2004
Springer
13 years 10 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
COMPSAC
2009
IEEE
14 years 2 days ago
Software Input Space Modeling with Constraints among Parameters
—This paper considers the task of software test case generation from a large space of values of input parameters. The purpose of the paper is to create a model of software input ...
Sergiy A. Vilkomir, W. Thomas Swain, Jesse H. Poor...
ECCC
2000
117views more  ECCC 2000»
13 years 5 months ago
On Testing Expansion in Bounded-Degree Graphs
We consider testing graph expansion in the bounded-degree graph model. Specifically, we refer to algorithms for testing whether the graph has a second eigenvalue bounded above by a...
Oded Goldreich, Dana Ron
ICASSP
2011
IEEE
12 years 9 months ago
Statistical Resolution Limit for source localization in a MIMO context
In this paper, we derive the Multidimensional Statistical Resolution Limit (MSRL) to resolve two closely spaced targets using a widely spaced MIMO radar. Toward this end, we perfo...
Mohammed Nabil El Korso, Rémy Boyer, Alexan...
MST
2010
86views more  MST 2010»
13 years 2 days ago
Fixed-Parameter Enumerability of Cluster Editing and Related Problems
Cluster Editing is transforming a graph by at most k edge insertions or deletions into a disjoint union of cliques. This problem is fixed-parameter tractable (FPT). Here we comput...
Peter Damaschke