💡 Words with a Similar Meaning to "Quadratic classifier"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| probabilistic classification | In machine learning, a probabilistic classifier is a classifier that is able to predict, given an observation of an input, a probability distribution over a set of classes, rather than only outputting the most likely class that the observation should belong to. |
| decision boundary | — |
| linear predictor function | In statistics and in machine learning, a linear predictor function is a linear function (linear combination) of a set of coefficients and explanatory variables (independent variables), whose value is used to predict the outcome of a dependent variable. |
| multinomial logistic regression | In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more than two possible discrete outcomes. |
| linear discriminant analysis | Linear discriminant analysis, normal discriminant analysis, or discriminant function analysis is a generalization of Fisher's linear discriminant, a method used in statistics and other fields, to find a linear combination of features that characterizes or separates two or more classes of objects or events. |
| multiclass classification | In machine learning and statistical classification, multiclass classification or multinomial classification is the problem of classifying instances into one of three or more classes (classifying instances into one of two classes is called binary classification). |
| linear regressionnoun | (statistics) A linear equation for deriving a single predicted value from one or more known explanatory values. |
| quadratic formnoun | (mathematics, number theory, algebra) A homogeneous polynomial of degree 2 in a given number of variables. |
| quadricnoun | (mathematics) Of or relating to the second degree; quadratic. |
| latent class model | In statistics, a latent class model is a model for clustering multivariate discrete data. |
| nonlinear regression | In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables. |
| margin classifier | In machine learning, a margin classifier is a type of classification model which is able to give an associated distance from the decision boundary for each data sample. |
| generalized additive model | In statistics, a generalized additive model is a generalized linear model in which the linear response variable depends linearly on unknown smooth functions of some predictor variables, and interest focuses on inference about these smooth functions. |
| linear classifier | In machine learning, a linear classifier makes a classification decision for each object based on a linear combination of its features. |
| empirical orthogonal functions | In statistics and signal processing, the method of empirical orthogonal function analysis is a decomposition of a signal or data set in terms of orthogonal basis functions which are determined from the data. |
| platt scalingnoun | (machine learning) A technique for transforming the outputs of a classification model into a probability distribution over classes, based on a logistic regression model. |
| quadratic functionnoun | (mathematics) Any function whose value is the solution of a quadratic polynomial |
| quadraticnoun | (mathematics) Of a polynomial, equation or function, second-degree: involving the second power (square) of a variable but no higher powers, as ax²+bx+c. |
| log-linear model | A log-linear model is a mathematical model that takes the form of a function whose logarithm equals a linear combination of the parameters of the model, which makes it possible to apply (possibly multivariate) linear regression. |
| similarity measure | In statistics and related fields, a similarity measure or similarity function or similarity metric is a real-valued function that quantifies the similarity between two objects. |
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