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Classification tree
| Глоссарий по искусственному интеллекту |
A classification tree is a tree-structured model for classifying dates. an observation is presented to the root node, which contains a splitting rule that sub-classifies the observation into one of its child nodes. the process is recursively repeated until the observation "drops" into a terminal node, which produces the classification. figure c.2 on page 52 shows a partial classification tree for blood pressure. see also: decision tree, recursive partitioning.
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Classificatio, onis, f, латинский
Classification, английский
- Assigning data (i e , cases or observations) cases to one of a fixed number of possible classes (represented by a nominal output variable)
- Классификация; систематизация; засекречивание
- Классификация (упорядоченная группировка явлений и объектов; может утверждаться в качестве стандарта, в том числе национального или международного), см. nomenclature
- The work of putting references or components into order so as to be able to refer to them again and identify them easily the abo classification of blood
- Классификация
- N классификация language typological ~ типологическая классификация classificatory a классификационный matrix classifying a классифицирующий article
- The placement of an item under the correct number in the customs tariff for duty purposes. at times this procedure becomes highly complicated; it is not uncommon for importers to resort to litigation over the correct duty to be assessed by the customs on a given item
- Классификация; категоризация; сортировка
- The process of assigning a set of records from a database (observations in a dataset) into (usually) one of ``small" number of pre-specified disjoint categories. related techniques include regression, which predicts a range of values and clustering, which (typically) allows the categories to form themselves. the classification can be "fuzzy" in several senses of the word. in usual sense, the classification technique can allow a single record to belong to multiple (disjoint) categories with a probability (estimated) of being in each class. the categories can also overlap when they are developed either through a hierarchical model or through an agglomerative technique. finally, the classification can be fuzzy in the sense of using "fuzzy logic" techniques. see also: clustering, fuzzy logic, regression. classification and regression trees (cart) classification and regression trees (cart) is a particular form of decision tree used in data mining and statistics.
- Классификация. для порошков (пыли)—разделение образца на фракции по размеру, форме и плотности частиц с помощью жидкости; основано, например, на различной скорости оседания фракций в жидкости или на разном поведении частиц в потоке жидкости.
- A systematic organization of classes.
- The placement of an incident into a hierarchy of descriptors that indicate what the incident is generally about. for example, an incident could be classified as being related to software, and then to microsoft, and then to word 2003.
- The type of updates that sce downloads from microsoft update during synchronization.
- An offender is classified for a particular security level and housed in an appropriate facility based on assessment of their crime, security risk and prison behavior.
- A code which provides a method for categorizing the invention.
- The code for a specific type of complementary work or variation.
- Классификация, номенклатура
Classification (in neural networks), английский
In classification, the aim is to assign input cases to one of a number of classes classification problems fall into two categories: two-class problems, and many-class problems a two-class problem is usually encoded using a single output neuron many-class
Classification -, английский
Аэродромная классификация фунтов
Classification according to kind of economic activity, английский
Классификация отраслей экономики (в снс; основные отрасли: 1) agriculture, hunting, forestry and fishing — сельское хозяйство, охота, лесное хозяйство и рыболовство;
Classification and regression trees, английский
Деревья регрессии и классификации
Classification by branch of economic activity, английский
Классификация по отраслям хозяйственной деятельности
Classification by broad economic categories, английский
Классификация по широким экономическим категориям (разработана в 1966 г. в качестве дополнения к стандартной международной торговой классификации — смтк; предназначена для пересчета основных экономических понятий смтк, на основе понятий и определений снс; предназначена в основном для импортных товаров; использовалась для составления некоторых действующих классификаций)
Classification by causes of death, английский
Классификация причин смерти
Classification by dichotomy, английский
Дихотомическая классификация
Classification by employment status, английский
Классификация no статусу занятости (в снс; безработные, частично занятые, занятые не по специальности, полностью занятые)
Classification by occupation, английский
Классификация по видам занятий; распределение по роду занятий
Classification by type of economic activity, английский
Классификация по признаку экономической деятельности (в снс; самодеятельное или несамодеятельное население; в смп; классификация по источникам средств существования)
Classification by year of birth, английский
Метод передвижки возрастов (метод перспективного исчисления населения по полу и возрасту)
Classification capacity, английский
Классификационная мощность
Classification clause, английский
Classification des batiments et des constructions, французский
Classification devised by the, английский
Soil conservation service of the us department of agriculture. the most porous soil in this classification system is said to be excessively drained, in which water is removed from the soil very rapidly. in contrast, is the least porous soil, classified as very poorly drained, in which water is removed from the soil so slowly that the water table remains at or near the surface most of the time.
Classification group, английский
Классификационная группа
Classification index, английский
Classification manual, английский
Указатель классов
Structured, английский
Структурированный
Classifying, английский
Классифицирование; систематизирование; засекречивание
Observation, английский
- Наблюдение; измерение
- Наблюдение; измерение оцт object задача; цель
- Observación
- The process of watching and examining a person or thing over a period of time she was admitted to hospital for observation.
- N наблюдение
- Наблюдение
- In nautical astronomy, denotes the taking the sun, moon, or stars` altitude with a quadrant or sextant, in order thereby to find the latitude or time; also, the lunar distances.
- [1] general; the act of measuring some magnitude with an instrument, such as the time of an occultation (with a clock); the right ascension of a star (with a transit instrument and clock); the sun’s altitude, or the distance of the moon from a star (with a sextant); the temperature (with a thermometer); etc. [2] nautical; a celestial sighting, taken in order to calculate a time or position. [3] the information so acquired.
Partitioning, английский
- Расчленение
- Разделение; создание разделов; разбиение на разделы; выделение разделов; организация разделов; декомпозиция; секционирование
- The process of replacing a table with multiple smaller tables.
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Backpropagation, английский
A classical method for error propagation when training artificial neural networks (anns). for standard backpropagation, the parameters of each node are changed according to the local error gradient. the method can be very slow to converge although it can be improved through the use of methods that slow the error propagation and by batch processing. many alternate methods such as the conjugate gradient and levenberg- marquardt algorithms are more effective and reliable.
Cluster tree, английский
A cluster tree of variables is a tree of clusters of the variables. any cluster tree corresponding to a bayesian network is a representation of the probability distribution of the variables and the probability of the network can be computed from products and divisions of the probabilities of the clusters. figure c.3 shows a simple five-node network and its cluster tree representation. the arcs in the latter are labeled with the separating variables, which consist of the intersection of the adjacent nodes. figure c.3 — simple five-node network see also: bayesian network, junction tree.
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