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» Handling variations and uncertainties
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HICSS
2009
IEEE
128views Biometrics» more  HICSS 2009»
14 years 19 days ago
Cyber Security Risks Assessment with Bayesian Defense Graphs and Architectural Models
To facilitate rational decision making regarding cyber security investments, decision makers need to be able to assess expected losses before and after potential investments. This...
Teodor Sommestad, Mathias Ekstedt, Pontus Johnson
AAAI
2008
13 years 11 months ago
The PELA Architecture: Integrating Planning and Learning to Improve Execution
Building architectures for autonomous rational behavior requires the integration of several AI components, such as planning, learning and execution monitoring. In most cases, the ...
Sergio Jiménez, Fernando Fernández, ...
CPAIOR
2008
Springer
13 years 10 months ago
Stochastic Satisfiability Modulo Theories for Non-linear Arithmetic
Abstract. The stochastic satisfiability modulo theories (SSMT) problem is a generalization of the SMT problem on existential and randomized (aka. stochastic) quantification over di...
Tino Teige, Martin Fränzle
WSC
1998
13 years 10 months ago
Bayesian Model Selection when the Number of Components is Unknown
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Russell C. H. Cheng
TASLP
2008
131views more  TASLP 2008»
13 years 8 months ago
Histogram-Based Quantization for Robust and/or Distributed Speech Recognition
Abstract--In a distributed speech recognition (DSR) framework, the speech features are quantized and compressed at the client and recognized at the server. However, recognition acc...
Chia-Yu Wan, Lin-Shan Lee