Additionally, to enhance computing efficiency in optimization, probabilistic effect assessment models for setting repair and retrofitting strategies are proposed.
They propose and evaluate link prediction algorithms that use a probabilistic ontology to enhance the analysis of the domain and to handle uncertainty.
We propose algorithms for link prediction that use a probabilistic ontology to enhance the analysis of the domain and the unavoidable uncertainty in the task (the ontology is specified in the probabilistic description logic cr(mathcal{ALC })).
While the MLSE algorithm assumes the prior probabilities P d) of the transmitted symbols to be equal, the MAP algorithm is able to exploit the prior probabilities P d), if necessary, in order to enhance the quality of posterior probabilistic information on each individual transmitted symbol.
All the studies included in the meta-analysis have been done on representatives and probabilistic samples to enhance the value of meta-analysis.
During the process, we have used carefully constructed high quality Golden Standard Positive (GSP) data and Golden Standard Negative (GSN) data to enhance the reliability of Bayesian probabilistic model and generated the protein-protein interaction network with a larger coverage.
A probabilistic approach to regulation enhances and extends the traditional deterministic approach by introducing the concept of safety (risk) significance that allows the designer/operator to focus on important issues.
It is concluded the artificial intelligence analysis of the fuzzy set could enhance the reliability method than the probabilistic analysis.
Their work is underlined with a Bayesian probabilistic predictor which is enhanced by concepts such as outlier, noise, distribution drift, novelty detection and rare events.
Aiming at enhancing their learning capabilities, Multi-valued Probabilistic Logic Nodes (M-PLN) are used, instead of crisp neurons with a 0/1 based RAM-nodes.
