Method for dynamically updating classifier complexity
AssigneeQUALCOMM Incorporated
InventorAnthony SARAH
Life of this patent
Estimating the term…
Abstract
A method for configuring a classifier includes operating the classifier to classify an input. The method also includes determining a confidence metric based on classification of the input. The method further includes dynamically updating a complexity of the classifier based on the confidence metric. The confidence metric may be computed based on a posterior probability. The complexity may be updated when the confidence metric is below a threshold value.
Claims28
A method for configuring a classifier, comprising:
- operating the classifier to classify an input;
- determining a confidence metric based at least in part on classification of the input;
- and
- dynamically updating a complexity of the classifier based at least in part on the confidence metric.
An apparatus for configuring a classifier, comprising:
- a memory;
- and
- at least one processor coupled to the memory, the at least one processor being configured:
- to operate the classifier to classify an input;
- to determine a confidence metric based at least in part on classification of the input;
- and
- to dynamically update a complexity of the classifier based at least in part on the confidence metric.
An apparatus for configuring a classifier, comprising:
- means for operating the classifier to classify an input;
- means for determining a confidence metric based at least in part on classification of the input;
- and
- means for dynamically updating a complexity of the classifier based at least in part on the confidence metric.
A computer program product for configuring a classifier, comprising:
- a non-transitory computer readable medium having encoded thereon program code, the program code comprising:
- program code to operate the classifier to classify an input;
- program code to determine a confidence metric based at least in part on classification of the input;
- and
- program code to dynamically update a complexity of the classifier based at least in part on the confidence metric.
Dependencies are inferred from the claim text.