While known algorithms for sensitivity analysis and parameter tuning in probabilistic networks have a running time that is exponential in the size of the network, the exact comput...
The complexity of hardware and software architectures used in today's embedded systems make a hierarchical, composable timing analysis impossible. This paper describes the so...
We discuss Feature Latent Semantic Analysis (FLSA), an extension to Latent Semantic Analysis (LSA). LSA is a statistical method that is ordinarily trained on words only; FLSA adds...
We present a set of methods to enable a cross-domain reuse of problem solutions via analysis patterns. First, problem-context descriptions and problemcontext models as well as sol...
This paper proposes a confluence between soft OR and soft computing methods, by means of an application of fuzzy logic ideas to robustness analysis. Both methods try to add flexib...