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- Feature_vector abstract "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 representations facilitate processing andstatistical analysis. When representing images, the feature values might correspond to the pixels of an image, when representing texts perhaps term occurrence frequencies. Feature vectors are equivalent to the vectors of explanatory variables used in statistical procedures such as linear regression. Feature vectors are often combined with weights using a dot product in order to construct a linear predictor function that is used to determine a score for making a prediction.The vector space associated with these vectors is often called the feature space. In order to reduce the dimensionality of the feature space, a number of dimensionality reduction techniques can be employed.Higher-level features can be obtained from already available features and added to the feature vector, for example for the study of diseases the feature 'Age' is useful and is defined as Age = 'Year of death' - 'Year of birth' . This process is referred to as feature construction. Feature construction is the application of a set of constructive operators to a set of existing features resulting in construction of new features. Examples of such constructive operators include checking for the equality conditions {=, ≠}, the arithmetic operators {+,−,×, /}, the array operators {max(S), min(S), average(S)} as well as other more sophisticated operators, for example count(S,C) that counts the number of features in the feature vector S satisfying some condition C or, for example, distances to other recognition classes generalized by some accepting device. Feature construction has long been considered a powerful tool for increasing both accuracy and understanding of structure, particularly in high-dimensional problems. Applications include studies of disease and emotion recognition from speech.".
- Feature_vector wikiPageID "2085584".
- Feature_vector wikiPageLength "3558".
- Feature_vector wikiPageOutDegree "19".
- Feature_vector wikiPageRevisionID "706064596".
- Feature_vector wikiPageWikiLink Algorithm.
- Feature_vector wikiPageWikiLink Category:Data_mining.
- Feature_vector wikiPageWikiLink Category:Machine_learning.
- Feature_vector wikiPageWikiLink Dependent_and_independent_variables.
- Feature_vector wikiPageWikiLink Dimensionality_reduction.
- Feature_vector wikiPageWikiLink Dot_product.
- Feature_vector wikiPageWikiLink Emotion_recognition.
- Feature_vector wikiPageWikiLink Euclidean_vector.
- Feature_vector wikiPageWikiLink Feature_(machine_learning).
- Feature_vector wikiPageWikiLink Feature_engineering.
- Feature_vector wikiPageWikiLink Feature_extraction.
- Feature_vector wikiPageWikiLink Feature_selection.
- Feature_vector wikiPageWikiLink Linear_predictor_function.
- Feature_vector wikiPageWikiLink Linear_regression.
- Feature_vector wikiPageWikiLink Machine_learning.
- Feature_vector wikiPageWikiLink Pattern_recognition.
- Feature_vector wikiPageWikiLink Statistics.
- Feature_vector wikiPageWikiLink Vector_space.
- Feature_vector wikiPageWikiLinkText "Feature vector".
- Feature_vector wikiPageWikiLinkText "feature space".
- Feature_vector wikiPageWikiLinkText "feature vector".
- Feature_vector wikiPageWikiLinkText "feature".
- Feature_vector wikiPageWikiLinkText "features vector".
- Feature_vector wikiPageWikiLinkText "features".
- Feature_vector wikiPageWikiLinkText "real-valued vectors".
- Feature_vector wikiPageWikiLinkText "vector".
- Feature_vector wikiPageUsesTemplate Template:Mathapplied-stub.
- Feature_vector wikiPageUsesTemplate Template:Redirect.
- Feature_vector wikiPageUsesTemplate Template:Reflist.
- Feature_vector subject Category:Data_mining.
- Feature_vector subject Category:Machine_learning.
- Feature_vector hypernym Vector.
- Feature_vector type Insect.
- Feature_vector type Algorithm.
- Feature_vector type Method.
- Feature_vector comment "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 representations facilitate processing andstatistical analysis. When representing images, the feature values might correspond to the pixels of an image, when representing texts perhaps term occurrence frequencies.".
- Feature_vector label "Feature vector".
- Feature_vector sameAs Q1921842.
- Feature_vector sameAs Merkmalsvektor.
- Feature_vector sameAs m.06l4zy.
- Feature_vector sameAs Признаковое_описание.
- Feature_vector sameAs Вектор_ознак.
- Feature_vector sameAs Q1921842.
- Feature_vector wasDerivedFrom Feature_vector?oldid=706064596.
- Feature_vector isPrimaryTopicOf Feature_vector.