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SAC
2008
ACM
13 years 7 months ago
Bayesian inference for a discretely observed stochastic kinetic model
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
Richard J. Boys, Darren J. Wilkinson, Thomas B. L....
ICRA
2003
IEEE
141views Robotics» more  ICRA 2003»
14 years 25 days ago
Knot planning from observation
—The learning from observation (LFO) paradigm has been widely applied in various types of robot systems. It helps reduce the work of the programmer. However, the applications of ...
Takuma Morita, Jun Takamatsu, Koichi Ogawara, Hiro...
PROCEDIA
2010
87views more  PROCEDIA 2010»
13 years 6 months ago
Forecast sensitivity to the observation error covariance in variational data assimilation
The development of the adjoint of the forecast model and of the adjoint of the data assimilation system (adjoint-DAS) make feasible the evaluation of the derivative-based forecast...
Dacian N. Daescu
ACCV
1995
Springer
13 years 11 months ago
Developing an Active Observer
We present a binocular active vision system that can attend to and xate a moving target. Our system has an open and expandable design and it forms the rst steps of a long term e o...
Jan-Olof Eklundh, Tomas Uhlin, Peter Nordlund, Ats...
BIRTHDAY
2005
Springer
14 years 1 months ago
Observing Reductions in Nominal Calculi Via a Graphical Encoding of Processes
The paper introduces a novel approach to the synthesis of labelled transition systems for calculi with name mobility. The proposal is based on a graphical encoding: Each process is...
Fabio Gadducci, Ugo Montanari