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IJCNN
2006
IEEE
13 years 11 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...
UIST
1993
ACM
13 years 9 months ago
VB2: An Architecture for Interaction in Synthetic Worlds
This paper describes the VB2 architecture for the construction of three-dimensional interactive applications. The system's state and behavior are uniformly represented as a n...
Enrico Gobbetti, Jean-Francis Balaguer, Daniel Tha...
METMBS
2003
255views Mathematics» more  METMBS 2003»
13 years 6 months ago
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
Constantin F. Aliferis, Ioannis Tsamardinos, Alexa...
DATE
2010
IEEE
154views Hardware» more  DATE 2010»
13 years 10 months ago
ERSA: Error Resilient System Architecture for probabilistic applications
There is a growing concern about the increasing vulnerability of future computing systems to errors in the underlying hardware. Traditional redundancy techniques are expensive for...
Larkhoon Leem, Hyungmin Cho, Jason Bau, Quinn A. J...
CODES
2006
IEEE
13 years 11 months ago
Accurate yet fast modeling of real-time communication
Accurate modeling of communication is a necessary part of system level design for real-time safety-critical applications. For efficient prediction of a system’s performance, Tra...
Gunar Schirner, Rainer Dömer