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91
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ADBIS
2009
Springer
128views Database» more  ADBIS 2009»
15 years 4 months ago
Detecting Moving Objects in Noisy Radar Data Using a Relational Database
Abstract. In moving object databases, many authors assume that number and position of objects to be processed are always known in advance. Detecting an unknown moving object and pu...
Andreas Behrend, Rainer Manthey, Gereon Schül...
75
Voted
JOLLI
2006
80views more  JOLLI 2006»
14 years 10 months ago
Means-End Relations and a Measure of Efficacy
Abstract. Propositional dynamic logic (PDL) provides a natural setting for semantics of means-end relations involving non-determinism, but such models do not include probabilistic ...
Jesse Hughes, Albert C. Esterline, Bahram Kimiagha...
93
Voted
CORR
2010
Springer
130views Education» more  CORR 2010»
14 years 10 months ago
Sharp Bounds on the Entropy of the Poisson Law and Related Quantities
One of the difficulties in calculating the capacity of certain Poisson channels is that H(), the entropy of the Poisson distribution with mean , is not available in a simple form. ...
José A. Adell, Alberto Lekuona, Yaming Yu
100
Voted
ALT
2004
Springer
15 years 7 months ago
Probabilistic Inductive Logic Programming
Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
Luc De Raedt, Kristian Kersting
104
Voted
ECSQARU
1993
Springer
15 years 2 months ago
On the Relations between Incidence Calculus and ATMS
Abstract. This paper discusses the relationship between incidence calculus and the ATMS. It shows that managing labels for statements in an ATMS is similar to producing the inciden...
Weiru Liu, Alan Bundy, David Stuart Robertson