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Reprepage
| Глоссарий по искусственному интеллекту |
77 sented as a collection of rules (if condition 1 then condition2). (see figure d.1.) some examples of decision tree methods include classification and regression trees (cart) methods, oc1, c4_5, and a commercial programs such as knowledge seeker. see also: classification and regression trees, data mining, oc1, c4.5, knowledge discovery in databases, knowledgeseeker, recursive partitioning. figure d.1 —
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Collection, английский
- The accumulation of precipitation into surface and underground areas, including lakes, rivers, and aquifers.
- Прием средств, инкассо, сбор задолженности по кредитам
- Сбор; собирание; коллекция
- A container for organizing clips.
- A customer’s assemblage of digital media, including music, videos, pictures, games, and apps.
- A set of resources in the configuration manager hierarchy.
- A set of thematically related apps, games, music tracks, videos, or other items available for purchase or download in the store. a thematic group of editorially chosen apps and games for merchandising or marketing purposes.
- A type of specialized class in the .net framework for data storage and retrieval. these classes provide support for stacks, queues, lists, and hash tables. most collection classes implement the same interfaces, and these interfaces may be inherited to create new collection classes that fit more specialized data storage needs.
- An export format that maintains a group of images that is generated at export.
- An object that contains a set of related objects. an object’s position in the collection can change whenever a change occurs in the collection; therefore, the position of any specific object in a collection may vary.
- Automatic grouping of user’s photos and videos based on time and place.
- The presentation of a negotiable instrument for payment, or the conversion of any accounts receivable into cash.
- Экзамены в конце семестра в оксфорде
- Инкассо
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
Regression, английский
- Statistical technique used to evaluate relationships among variables (22).
- Регрессия
- 1. a stage where symptoms of a disease are disappearing and the person is getting better 2. (in psychiatry) the process of returning to a mental state which existed when the person was younger
- Regression commonly refers to the process of developing an empirical (data-driven) model to predict and/or explain one or more attributes in a database or set of data. it is most frequently associated with the simple linear model (y=mx+b) taught in most introductory statistics courses; the same ideas have been extended in many directions, including classification problems. when the emphasis is on hypothesis testing and simple models, the regression output is typically a few parameters that provide a direct linkage from the input variables to the predicted variables (or classification). in other situations the emphasis is on explaining as much of the variability in the output variables as is "reasonable" from the input variables. in this case, there are a number of "advanced" techniques, such as smoothing splines, decision trees, neural nets, and so forth, for which there are many "free" parameters. the meaning of any one of these parameters can be obscure. many data mining techniques are, at their core, variations on well-known regression techniques. see also: classification, clustering, decision trees, neural nets.
- The reappearance of a previously fixed problem.
- The statistical process of predicting one or more continuous variables, such as profit or loss, based on other attributes in the dataset.
- A mathematical technique used to explain and/or predict. the general form is y = a + bx + u, where y is the variable that we are trying to predict; x is the variable that we are using to predict y, a is the intercept; b is the slope, and u is the regression residual. the a and b are chosen in a way to minimize the squared sum of the residuals. the ability to fit or explain is measured by the r-square.
- A seaward retreat of a shoreline, generally expressed as a seaward
Commercial, английский
Коммерческий
Knowledgeseeker, английский
Knowledgeseeker is an early commercial classification tree program. unlike classification and regression trees (cart), it offered multi-way splits. it also used a different set of splitting criteria. see also: http://www.angoss.com/
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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Type label description, английский
3 regular a regular expression or a deterministic finite automata can determine if a string is a member of the language. 2 context free computable by a context-free grammer or a push down automata. 1 context sensitive computable by linear bounded automata. 0 recursive a turing machine can compute whether a given string is a member of the language.
With nonpage, английский
80 intersecting sets are discarded. the remaining products are normalized to one, and are assigned to the sets that form the intersections of the two sets in the product. the core of a set is the probability that is assigned precisely to that set. see also: belief function, dempster-shafer theory. dempster-shafer theory a. dempster and g. shafer (his student) proposed an extension to standard probability methods that have been adapted to many areas of reasoning about uncertainty. classical probability assumes that probability is associated with the elements of a set, and calculates probabilities associated with sets of these by combining the probabilities associated with the elements in a set. a dempster-shafer probability allows probability to be assigned directly to sets of elements, rather than be derived from their elements. as an example, consider a group of experts that are asked to choose from among four courses of actions. while some experts might choose a single action, some may also indicate a pair or some other set of actions as being desirable. this latter group has assigned weight directly to a set of the actions rather than to the elements that the first group did. the dempster-shafer theory supports reasoning from evidence such as this. see also: belief function, frame of discernment, probability, quasi-bayesian theory.
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