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» Weak Bisimulation Approximants
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ISAAC
2004
Springer
170views Algorithms» more  ISAAC 2004»
15 years 5 months ago
Spanners, Weak Spanners, and Power Spanners for Wireless Networks
For c ∈ R, a c-spanner is a subgraph of a complete Euclidean graph satisfying that between any two vertices there exists a path of weighted length at most c times their geometric...
Christian Schindelhauer, Klaus Volbert, Martin Zie...
CODES
2003
IEEE
15 years 5 months ago
Deriving process networks from weakly dynamic applications in system-level design
We present an approach to the automatic derivation of executable Process Network specifications from Weakly Dynamic Applications. We introduce the notions of Dynamic Single Assig...
Todor Stefanov, Ed F. Deprettere
CORR
2010
Springer
104views Education» more  CORR 2010»
14 years 12 months ago
Empirical learning aided by weak domain knowledge in the form of feature importance
Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowle...
Ridwan Al Iqbal
NIPS
2007
15 years 1 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
LICS
2009
IEEE
15 years 6 months ago
On the Computational Complexity of Verifying One-Counter Processes
—One-counter processes are pushdown systems over a singleton stack alphabet (plus a stack-bottom symbol). We study the complexity of two closely related verification problems ov...
Stefan Göller, Richard Mayr, Anthony Widjaja ...