Experimental and numerical results are combined into a multimodal dataset and sampled utilizing a non-local data mining procedure.
This dispersion is key to scalability but potentially inefficient for computations that require non-local data.
Since the robustified version of extended prediction error criterion is calculated on sliding data frame of proper length, it represents a robust measure of local data non-stationarity.
The basic principle is to use the nearest non-fault data when local data has failure and to broaden trip boundary when protection or breaker does not operate correctly.
However, 59 studies looked at the use of non-formal evidence, which included local data, surveillance data, personal experience, clinical expertise, or other informal knowledge.
While the first regularization term allows us to exploit local sparsity in a patch, the second regularization term (through β i ) allows us to utilize the non-local similarities (data redundancy) often seen in natural images [ 31, 35, 46, 47].
As the generalizability of the non-occurrence of IFs in our local data is limited, we next conducted a scoping review of the literature using a PubMed enquiry (date of analysis 31 March 2015).
In other words, the local data sets are independent and non-overlapping.
Evidence includes both codified and non-codified sources of knowledge including research evidence, clinical expertise, local data or information, and patient experience.
But local data needs are often overlooked.
