- minimum-distance classifier
- классификатор, построенный по критерию минимального расстояния
English-Russian dictionary of computer science and programming. 2013.
English-Russian dictionary of computer science and programming. 2013.
Margin classifier — In machine learning, a margin classifer is a classifier which is able to give an associated distance from the decision boundary for each example. For instance, if a linear classifier (e.g. perceptron or linear discriminant analysis) is used, the… … Wikipedia
Computer-aided diagnosis — Computer aided detection (CADe) and computer aided diagnosis (CADx) are procedures in medicine that assist doctors in the interpretation of medical images. Imaging techniques in X ray, MRI, and Ultrasound diagnostics yield a great deal of… … Wikipedia
Computer-aided diagnosis — Computerassistierte Detektion (Computer Assisted Detection, teilweise auch Computer aided diagnosis, kurz CAD) beschreibt ein Verfahren in der Medizin zur Unterstützung des Arztes bei der Interpretation von Untersuchungsergebnissen. Bildgebende… … Deutsch Wikipedia
Computerassistierte Detektion — (computer assisted detection, teilweise auch computer aided diagnosis, kurz CAD) beschreibt ein Verfahren in der Medizin zur Unterstützung des Arztes bei der Interpretation von Untersuchungsergebnissen. Bildgebende Verfahren in der… … Deutsch Wikipedia
List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… … Wikipedia
environmental works — ▪ civil engineering Introduction infrastructure that provides cities and towns with water supply, waste disposal, and pollution control services. They include extensive networks of reservoirs, pipelines, treatment systems, pumping stations … Universalium
Maximum a posteriori estimation — In Bayesian statistics, a maximum a posteriori probability (MAP) estimate is a mode of the posterior distribution. The MAP can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to… … Wikipedia
Support vector machine — Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression. Viewing input data as two sets of vectors in an n dimensional space, an SVM will construct a separating hyperplane in that… … Wikipedia
Supervised learning — is a machine learning technique for learning a function from training data. The training data consist of pairs of input objects (typically vectors), and desired outputs. The output of the functioncan be a continuous value (called regression), or… … Wikipedia
Shape context — is the term given by Serge Belongie and Jitendra Malik to the feature descriptor they first proposed in their paper Matching with Shape Contexts in 2000cite conference author = S. Belongie and J. Malik title = Matching with Shape Contexts url =… … Wikipedia
Theoreme spectral — Théorème spectral Un ellipsoïde en trois possède autant d axes de symétrie que l espace de dimensions. Ils sont notés ici x, y et z … Wikipédia en Français