feature selection

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• Feature selection — Feature selection, also known as variable selection, feature reduction, attribute selection or variable subset selection, is the technique, commonly used in machine learning, of selecting a subset of relevant features for building robust learning …   Wikipedia

• Minimum redundancy feature selection — is an algorithm frequently used in a method to accurately identify characteristics of genes and phenotypes and narrow down their relevance and is usually described in its pairing with relevant feature selection as Minimum Redundancy Maximum… …   Wikipedia

• Feature Subset Selection — Die Feature Subset Selection (FSS), kurz Feature Selection, ist ein Ansatz aus dem maschinellen Lernen, bei dem nur eine Teilmenge der verfügbaren Features für einen Lernalgorithmus verwendet wird. FSS ist notwendig, weil es teilweise technisch… …   Deutsch Wikipedia

• Feature extraction — In pattern recognition and in image processing, Feature extraction is a special form of dimensionality reduction.When the input data to an algorithm is too large to be processed and it is suspected to be notoriously redundant (much data, but not… …   Wikipedia

• Feature vector — In pattern recognition and machine learning, a feature vector is an n dimensional vector of numerical features that represent some object. Many algorithms in machine learning require a numerical representation of objects, since such… …   Wikipedia

• Feature Oriented Programming — (FOP) or Feature Oriented Software Development (FOSD) is a general paradigm for program synthesis in software product lines. FOSD arose out of layer based designs of network protocols and extensible database systems in the late 1980s cite web |… …   Wikipedia

• Feature group — Feature Groups in United States telephone jargon were switching arrangements between Local exchange carriers central offices to interexchange carriers.Such an arrangement allowed the LEC s end users to make (long distance) phone calls using the… …   Wikipedia

• Feature detection (computer vision) — In computer vision and image processing the concept of feature detection refers to methods that aim at computing abstractions of image information and making local decisions at every image point whether there is an image feature of a given type… …   Wikipedia

• selection — noun 1 process of choosing/being chosen ADJECTIVE ▪ careful ▪ the careful selection of building materials ▪ random ▪ initial ▪ final …   Collocations dictionary

• Selection-based search — A selection based search system is a search engine system in which the user invokes a search query using only the mouse.[1] A selection based search system allows the user to search the internet for more information about any keyword or phrase… …   Wikipedia

• feature — {{Roman}}I.{{/Roman}} noun 1 important part of sth ADJECTIVE ▪ basic, central, critical, crucial, essential, fundamental, important, key, main, major …   Collocations dictionary