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» Modeling Dependable Systems using Hybrid Bayesian Networks
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HYBRID
2003
Springer
14 years 21 days ago
Automated Symbolic Reachability Analysis; with Application to Delta-Notch Signaling Automata
Abstract. This paper describes the implementation of predicate abstraction techniques to automatically compute symbolic backward reachable sets of high dimensional piecewise affine...
Ronojoy Ghosh, Ashish Tiwari, Claire Tomlin
30
Voted
TSD
2010
Springer
13 years 5 months ago
Hybrid HMM/BLSTM-RNN for Robust Speech Recognition
The question how to integrate information from different sources in speech decoding is still only partially solved (layered architecture versus integrated search). We investigate t...
Yang Sun, Louis ten Bosch, Lou Boves
NN
1997
Springer
174views Neural Networks» more  NN 1997»
13 years 11 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
HICSS
2007
IEEE
97views Biometrics» more  HICSS 2007»
14 years 1 months ago
Decision Support in Health Care via Root Evidence Sampling
— Bayesian networks play a key role in decision support within health care. Physicians rely on Bayesian networks to give medical treatment, generate what-if scenarios, and other ...
Benjamin B. Perry, Eli Faulkner
IROS
2007
IEEE
148views Robotics» more  IROS 2007»
14 years 1 months ago
Tractable probabilistic models for intention recognition based on expert knowledge
— Intention recognition is an important topic in human-robot cooperation that can be tackled using probabilistic model-based methods. A popular instance of such methods are Bayes...
Oliver C. Schrempf, David Albrecht, Uwe D. Hanebec...