Quadratic classifier information

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...

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

Q-statistic[disambiguation needed] Quadrat Quadrant count ratio Quadratic classifier Quadratic form (statistics) Quadratic variation Qualitative comparative analysis Qualitative...

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...

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...

There are many metrics that can be used to measure the performance of a classifier or predictor; different fields have different preferences for specific...

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...

{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...

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

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...

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...

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...

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

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...

for support vector machines (SVMs). For an intended output t = ±1 and a classifier score y, the hinge loss of the prediction y is defined as ℓ ( y ) = max...

supervised classification. In order to use the Mahalanobis distance to classify a test point as belonging to one of N classes, one first estimates the...