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SMA
2010
ACM
181views Solid Modeling» more  SMA 2010»
13 years 3 months ago
Threshold selection in jump-discriminant filter for discretely observed jump processes
Threshold estimation is one of the useful techniques in the inference for jump-type stochastic processes from discrete observations. In this method, a jump-discriminant filter is ...
Yasutaka Shimizu
CIDR
2007
141views Algorithms» more  CIDR 2007»
13 years 10 months ago
Data-Driven Processing in Sensor Networks
Wireless sensor networks are poised to enable continuous data collection on unprecedented scales, in terms of area location and size, and frequency. This is a great boon to field...
Adam Silberstein, Gregory Filpus, Kamesh Munagala,...
PLDI
2003
ACM
14 years 2 months ago
Checking and inferring local non-aliasing
In prior work [15] we studied a language construct restrict that allows programmers to specify that certain pointers are not aliased to other pointers used within a lexical scope....
Alexander Aiken, Jeffrey S. Foster, John Kodumal, ...
CDC
2008
IEEE
131views Control Systems» more  CDC 2008»
14 years 3 months ago
Probabilistic testing for stochastic hybrid systems
— In this paper we propose a testing based method for safety/ reachability analysis of stochastic hybrid systems. Testing based methods are characterized by analysis based on the...
A. Agung Julius, George J. Pappas
LICS
2003
IEEE
14 years 2 months ago
Labelled Markov Processes: Stronger and Faster Approximations
This paper reports on and discusses three notions of approximation for Labelled Markov Processes that have been developed last year. The three schemes are improvements over former...
Vincent Danos, Josee Desharnais