The phrase "a function that labels" is correct and usable in written English.
You can use it when describing a specific function in programming or data processing that assigns labels to data points or categories.
Example: "The algorithm includes a function that labels each data entry based on its characteristics."
Alternatives: "a method that tags" or "a procedure that categorizes".
We present two initial forays into this space: First, we convert natural language explanations to a function that labels unlabeled data, which can be used to train a predictor.
Let f : X→ Y be a function that labels data points in G. Cheeger regularization is defined as (3) where D=diag(d i ) is a diagonal matrix with d i =∑ j w ij, L= D− W is the Laplacian of G, 1=(1,…, 1) T and β is the non-negative weight.
A Kripke structure, which is a tuple M = (S, S 0, R, L ), represents the finite state transition system in model checking, where, S 0 denotes a set of initial states, R denotes a transition relation between states, and L denotes a function that labels each state s with a set of atomic propositions true in s.
Recall that we defined a learning method as a function that takes a labeled training set as input and returns a classifier.
Facilitation is a function that has been described under many labels, e.g. change agent, opinion leader, research champion, and knowledge broker [ 32].
Edges in the graph trace possible connections between such entities and are labeled through a function that computes the cost of such connections.
Each trigonometric function has an inverse function, that is, a function that "undoes" the original function.
Intuitively, a classifier is a function that assigns labels to individuals (e.g., binge drinker or not) based on certain features (e.g., alcohol-specific parenting practices).
So, a lot of you talked about different types of orbitals in high school, I'm sure, or in previous courses, and it might be less common that you actually talked about a wave function that was labeled like this.
The main modification to the algorithm is the introduction of a new error function that takes multiple labels into account.
We define the observable part of a state s, as obs(s) = [l v1[s]), l v2[s]),..., l(v n [s])] where l represents a labeling function, that is used to assign to v i [s], a value equal to one of the following three, depending on the ability of the security solution to monitor the system variables.
