In practical applications, outage events, for instance, usually reduce the actual network traffic to a value close to zero for the affected Key Performance Indicator (KPI), and each predicted value by the algorithm represents the estimated outage effect.
After convergence, each set of parameter values accepted or retained by the algorithm represents a draw from the posterior distribution f(θ| b, s, M).
The cluster centers produced by the algorithm represent the "central" location (in m dimensional space) of the cluster members' hospitals.
To alleviate this deficiency in identification that would have adverse effects on lower abundance proteins with suboptimal quality product ion spectra, the algorithm represented by the blue curve represents a practical compromise.
This approach, referred to as ordinary least squares regression, is the default mode for line fitting in several commonly used software packages; for example, it is the algorithm represented by the 'Trend line' and 'Linest' functions in Microsoft Excel.
Because a more stringent manual review of reference sequences, as performed in diagnostic practice (14 ), was not feasible for this large study, the 673 isolates detected by this algorithm represent a conservative estimate of the total number of novel species encountered.
As already stated, the undirected or semidirected graphs returned by the IC algorithm represent classes of equivalent causal structures.
Low-complexity segments defined by the SEG algorithm represent compositionally biased regions based only on residue composition and taking into account the improbability of appearance of such sequences.
Node 0 of the decision tree identifies the most important factor and new branches of the 'tree' emerge as the analysis develops an algorithm (represented by consecutively numbered nodes) highlighting the order of importance of each candidate asset.
Filter methods rank each feature according to a given objective function (e.g., correlation to response variable, inter-feature correlation, etc)., while wrapper methods evaluate and select features which lead to the best predictive performance by associating a filter method with a machine learning algorithm (represented by a hyphen connecting both algorithms) [18].
For simplicity, the strategies of these algorithms are listed in only one algorithm, represented here by Algorithm 4. First, using the array TransArray, we mark all the elements of array M that are equal to maxsum.
