A sensor placement optimization problem is then formulated based on the Bayesian calibration to maximize the expected information gain measured by the expected Kullback Leibler (K L) divergence.
Cameron said in April that he expected information about his finances to be made public, and was relaxed about the prospect.
Dimon allegedly hammered the OCC regulator on why he needed the information – which, at that time, was standard and expected information for the regulator to have.
The reward is expected information gain (EIG).
Entropy evaluates the expected information content of a certain message.
The method ensures optimal spatial sampling by maximizing the expected information gained from each sample.
Shannon-type expected information gain can be used to evaluate the relevance of a proposed experiment subjected to uncertainty.
To calculate these integrals, an expected Information Content Model (eICM) is proposed based upon the credibility theory.
The standard likelihood-based criteria are difficult to apply since calculation of the expected information matrix is not straightforward.
A total of 64% expected information about self-management and 52% expected to receive education on their headaches.
Beyond expected information such as salary and job information, Garg said other variables considered including social media information from sources such as Facebook, Twitter, and Instagram among others.
