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» Modeling Dependable Systems using Hybrid Bayesian Networks
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AAAI
2007
13 years 11 months ago
Hybrid Inference for Sensor Network Localization Using a Mobile Robot
In this paper, we consider a hybrid solution to the sensor network position inference problem, which combines a real-time filtering system with information from a more expensive,...
Dimitri Marinakis, David Meger, Ioannis M. Rekleit...
ICRA
2008
IEEE
208views Robotics» more  ICRA 2008»
14 years 3 months ago
Unsupervised body scheme learning through self-perception
— In this paper, we present an approach allowing a robot to learn a generative model of its own physical body from scratch using self-perception with a single monocular camera. O...
Jürgen Sturm, Christian Plagemann, Wolfram Bu...
IJCAI
2003
13 years 10 months ago
Dynamic Bayesian modeling of the cerebral activity
Conventional methods used for the interpretation of activation data provided by functional neuroimaging techniques provide useful insights on what the networks of cerebral structu...
Vincent Labatut, Josette Pastor, Serge Ruff
IJCAI
2003
13 years 10 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
HYBRID
1998
Springer
14 years 29 days ago
Formal Verification of Safety-Critical Hybrid Systems
This paper investigates how formal techniques can be used for the analysis and verification of hybrid systems [1,5,7,16] -- systems involving both discrete and continuous behavior....
Carolos Livadas, Nancy A. Lynch