In statistics, a quadratic classifier is a statistical classifier that uses a quadratic decision surface to separate measurements of two or more classes...

hash tables Quadratic classifier, used in machine learning to separate measurements of two or more classes of objects Quadratic time, in referring to...

"no". A linear classifier is often used in situations where the speed of classification is an issue, since it is often the fastest classifier, especially...

classifier with no preprocessing. In 2004, a best-case error rate of 0.42 percent was achieved on the database by researchers using a new classifier called...

classification, especially in a concrete implementation, is known as a classifier. The term "classifier" sometimes also refers to the mathematical function, implemented...

used in qualitative research Quadratic discriminant analysis as used in statistical classification or as a quadratic classifier in machine learning The .QDA...

the maximum-margin hyperplane and the linear classifier it defines is known as a maximum-margin classifier; or equivalently, the perceptron of optimal...

distributions are optimally separated by using a quadratic classifier, a boundary that is a quadratic function (e.g. the curve defined by setting the likelihood...

_{1}|\ >\ T} Without any further assumptions, the resulting classifier is referred to as quadratic discriminant analysis (QDA). LDA instead makes the additional...

Evaluation of a binary classifier typically assigns a numerical value, or values, to a classifier that represent its accuracy. An example is error rate...

(disambiguation) Quadrat Quadrant count ratio Quadratic classifier Quadratic form (statistics) Quadratic variation Qualitative comparative analysis Qualitative...

A conic section, conic or a quadratic curve is a curve obtained from a cone's surface intersecting a plane. The three types of conic section are the hyperbola...

In mathematics, a binary quadratic form is a quadratic homogeneous polynomial in two variables q ( x , y ) = a x 2 + b x y + c y 2 , {\displaystyle q(x...

Problem is simply this: classify quadratic forms over algebraic number fields." This is exactly what Minkowski did for quadratic form with fractional coefficients...

discriminant for quadratic forms in characteristic not 2. Arf used his invariant, among others, in his endeavor to classify quadratic forms in characteristic 2...

regression (LARS) Classifiers Probabilistic classifier Naive Bayes classifier Binary classifier Linear classifier Hierarchical classifier Dimensionality...

theorem is a fundamental result in number theory which states that two quadratic forms over a number field are equivalent if and only if they are equivalent...

the Λ-quadratic form (h, q) on M. A quadratic module over (R, Λ) is a triple (M, h, q) such that M is an R-module and (h, q) is a Λ-quadratic form. To...

neuron) is an algorithm for supervised learning of binary classifiers. A binary classifier is a function which can decide whether or not an input, represented...

Linear classifier Logit (for logistic regression) Machine learning Multidimensional scaling Perceptron Preference regression Quadratic classifier Statistics...

discriminative. Parametric: Linear discriminant analysis Quadratic discriminant analysis Maximum entropy classifier (aka logistic regression, multinomial logistic...

{1}{2}}\delta \right),&{\text{otherwise.}}\end{cases}}} This function is quadratic for small values of a, and linear for large values, with equal values...

be used in place of x2. The adjective which corresponds to squaring is quadratic. The square of an integer may also be called a square number or a perfect...

in the Mandelbrot set (the parameter space of complex quadratic maps) and also in real quadratic maps of the interval for which the critical point is strictly...

following its Latin translation by Robert of Chester. The book classifies quadratic equations to one of the six basic types and provides algebraic and...

nondegenerate quadratic forms on vector spaces, the finite-dimensional real and complex Clifford algebras for a nondegenerate quadratic form have been...

difficult than regular linear programming. Quadratic programming allows the objective function to have quadratic terms, while the feasible set must be specified...

harder-to-classify examples. AdaBoost refers to a particular method of training a boosted classifier. A boosted classifier is a classifier of the form...

formulated. These groups appeared in the theory of quadratic forms: in the case of binary integral quadratic forms, as put into something like a final form...

a Clifford algebra is an algebra generated by a vector space with a quadratic form, and is a unital associative algebra with the additional structure...