Apparatuses and methods for selecting candidates end points in a fixed communication network
AssigneeNokia Solutions and Networks Oy
InventorsBenoit DROOGHAAG, Tom BOSTOEN
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AssigneeNokia Solutions and Networks Oy
InventorsBenoit DROOGHAAG, Tom BOSTOEN
Estimating the term…
A computer-implemented method for selecting candidates end points includes providing a training success list identifying successful training candidate end points to be allocated a bandwidth increment for a long time period, wherein the successful training candidate end points are a subset of training candidate end points, performing supervised training of a success prediction model for predicting the training success list from the training dataset, determining a predicted list by implementing the success prediction model on a reservoir dataset identifying potential candidate end points belonging to the fixed communications network wherein the predicted list identifies candidates end points as a subset of the potential candidate end points, selecting a candidate list identifying candidate end points to be allocated a bandwidth increment, wherein the candidate end points belong to the fixed communications network, wherein the candidate list includes part or all of the predicted list.
A computer-implemented method for selecting candidates end points,
A computer-implemented method according to the claim 13, wherein performing supervised training of a second success prediction model comprises performing supervised re-training of the first success prediction model for predicting the second success list from the second training dataset, wherein the second success prediction model is the re-trained first success prediction model.
Apparatus for selecting candidates end points comprising:
Dependencies are inferred from the claim text.