Sentence examples for a set of learning functions from inspiring English sources

The phrase "a set of learning functions" is correct and usable in written English.
It can be used when referring to a collection of functions or methods designed for educational or training purposes, often in the context of programming or machine learning.
Example: "The software includes a set of learning functions that enhance user engagement and knowledge retention."
Alternatives: "a collection of learning functions" or "a group of learning functions".

Exact(1)

Given an underlying function f : S → {0,1} defined on the set S of gene pair instances, the learning process produces a set of learning functions Γ = { f ^ : L → 0,1 ∣ L ⊂ S } that approximate f from the train set L. The goal is to find the best approximation function from Γ having a fitness function or a classification evaluation metric.

Similar(59)

To generate a set of negative examples, the references of a set of learning set sequences were screened.

Every course will have a set of learning objectives.

We previously developed a set of scoring functions where learning was performed using a genetic algorithm.

Furthermore, owing to the learning capability of DNN, a set of nonlinear functions that are designed to represent the chemotaxis behaviors of C. elegans are learned by the head DNN.

Furthermore, due to the learning capability of DNN, a set of nonlinear functions that are designed to represent the chemotaxis behaviors of C. elegans are learned by the head DNN using Differential Evolution Algorithm.

The goal of multi-task learning is to learn a set of functions f T such that f t i ( x i ) ≈ y i and the set f T generalizes well to unseen data.

K-SVD (Aharon et al. 2006) is a dictionary learning algorithm for creating a set of basis functions for sparse representations.

In the second stage, we apply a deep convolutional network to simultaneously learn a good multimedia representation and a set of hash functions.

The classifier effectively learns a folding characteristic for each bit, which is realized as the weighted sum of a set of kernel functions.

A learning machine that is capable of implementing a set of functions f (x, w), w ∈ W, where x is a random input vector, w is a parameter of the function, and W is a set of abstract parameters that are used to index the set of functions f (x, w) [25].  .

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