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» Testing Reactive Probabilistic Processes
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BMCBI
2007
215views more  BMCBI 2007»
15 years 2 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
DAGSTUHL
1998
15 years 3 months ago
Markov Localization for Reliable Robot Navigation and People Detection
Localization is one of the fundamental problems in mobile robotics. Without knowledge about their position mobile robots cannot e ciently carry out their tasks. In this paper we pr...
Dieter Fox, Wolfram Burgard, Sebastian Thrun
ICASSP
2011
IEEE
14 years 6 months ago
Improved F0 modeling and generation in voice conversion
F0 is an acoustic feature that varies largely from one speaker to another. F0 is characterized by a discontinuity in the transition between voiced and unvoiced sounds that present...
Aki Kunikoshi, Yao Qian, Frank K. Soong, Nobuaki M...
CONCUR
2010
Springer
15 years 3 months ago
Learning I/O Automata
Links are established between three widely used modeling frameworks for reactive systems: the ioco theory of Tretmans, the interface automata of De Alfaro and Henzinger, and Mealy ...
Fides Aarts, Frits W. Vaandrager
BMCBI
2006
126views more  BMCBI 2006»
15 years 2 months ago
A minimally invasive multiple marker approach allows highly efficient detection of meningioma tumors
Background: The development of effective frameworks that permit an accurate diagnosis of tumors, especially in their early stages, remains a grand challenge in the field of bioinf...
Andreas Keller, Nicole Ludwig, Nicole Comtesse, An...