The phrase "a learning function" is correct and usable in written English.
It can be used in contexts related to education, programming, or any system that involves acquiring knowledge or skills.
Example: "The software includes a learning function that adapts to the user's preferences over time."
Alternatives: "an educational feature" or "a knowledge acquisition mechanism".
We show that a pulse-type hardware neural network with STDP synapses has a learning function that has robustness with respect to phase fluctuation.
A pool-based ASVM is employed for metamodel construction with the minimum number of training samples, for which a learning function is proposed to sequentially select informative training samples.
The second part is a learning function whose inputs are space time features [123] from the input video and is trained from target data where the target labels are estimated (pseudo labels) from the weighted sum of the source classifiers.
Purpose/Objective: The evaluation is intended to serve both an accountability function (historical / summative) and a learning function (forward-looking / formative).
The result could suggest a learning function of aversive dopamine responses if the unspecific, generally disabling effect of lower dopamine concentration is ruled out, which remains to be shown.
In this paper, a new learning function based on information entropy is proposed.
In this research, a new learning function, named least improvement function (LIF), is proposed to update DoE of Kriging based reliability analysis method.
In this paper, a new learning function based on cross-validation is proposed as the guideline to adaptively select new training points at each iteration for reliability analysis.
The generic ensemble estimator takes the form: F ^ (x ) = h s ({ f s (x ) } 1 S ), where S is the number of ensemble members (or "base learners"), the base learners { f s } 1 S are functions of x derived from the training data, and h s is an ensemble learning function.
In this paper, a new active learning method based on a widely used learning function U is proposed to improve the speed of convergence of the AK-MCS method for problems with a connected domain of failure.
a Asymmetric Hebbian learning function.
