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Uttley machine

Глоссарий по искусственному интеллекту
    An uttley machine is a special type of perceptron, suggested by a. m. uttley. by comparing the activations of adjacent channels in a network, and using bayesian techniques to update the weights, he was able to limit the number of input channels required in a perceptron network. he also demonstrated that incorporating local feedback between perceptrons reduced the number of perceptrons required active classification of patterns.




Machine, английский
  1. Машина

  2. Устройство; машина; механизм; комбинация устройств (патентоспособный класс изобретений)

  3. A машинный (см. тж. machineaided; ант. human) translation machine-aided a сделанный с помощью машины (см. тж. computer-aided, machine; ант. humanaided) translation macrojuncture n макростык (ант. microjuncture) macrolinguistics n макролингвистика (ант. microlinguistics)

  4. Машина; станок; механизм; устройство; установка

  5. Learning processes. many persons are familiar with regression in its elementary form, also known as "simple linear regression." in this form, a real valued variable y is predicted by a value x through an equation of the form y=a+bx, where a and b are constants. however, regression has been extended far beyond the original concept. there are forms of regression for classification, for decision trees, and for general non-linear regression, among others. examples of these would be multivariate logistic regression, classification and regression trees and their many generalizations, and feed-forward neural networks. see also: data mining, knowledge discovery in databases, neural networks.

  6. A computer, either physical or virtual, capable of processing information to produce a desired result.

  7. Организация или партия, контролирующая политическую жизнь страны


Machine, французский

Machine à boucher, французский

Machine à couler, французский

Machine à déboucher, французский

Machine a clouer, французский

Machine a couler les joints, французский

Machine a enrouler l`armature, французский

Machine a sabler, французский

Machine a tronconner et plier les armatures, французский

Machine account, английский
    Учетные данные машины


Machine accounting, английский
    Машинная бухгалтерия machine address машинный адрес; физический адрес


Machine addressing, английский
    Машинная адресация machine arithmetic машинная арифметика machine-associated машинно-зависимый machine attendance техническое обслуживание машины machine charges расходы на обслуживание машины


Machine adress code sensor, английский
    Датчик, считывающий адресный код станка


Machine advance rate, английский

Machine arrangement, английский
    Компоновка станка; конструктивная схема станка


Machine art, английский
    Искусство, объектом которого являются машины, всевозможные технические приспособления и т.п.


Machine assignment (, английский
    Календарный) график загрузки станка


Machine automation control, английский

Machine availability, английский
  1. Machine availability is expressed as a percent of the scheduled operating time during which a machine is not under repair or service. in other words, it is the percentage of the scheduled operating time during which the machine is mechanically fit and is

  2. Machine time


Machine available time, английский

Perceptron, английский
  1. Перцептрон (обучаемый распознающий робот)

  2. A simple pattern recognition device that was the precursor of modern neural nets. the original perceptron took a weighted sum of a set of inputs, added a constant "bias" or "offset" and returned a zero or one, depending on whether or not the sum was above or below a threshold. perceptron-type circuits underlie modern neural nets.

  3. A mechanical device developed in the 1950`s by rosenblatt for deciding (->decision) among, and to a limited degree for the recognition and learning of patterns which are defined by relations among a multitude of stimuli in its input. performance


Demonstrated, английский
    Продемонстрированный


Classification, английский
  1. Assigning data (i e , cases or observations) cases to one of a fixed number of possible classes (represented by a nominal output variable)

  2. Классификация; систематизация; засекречивание

  3. Классификация (упорядоченная группировка явлений и объектов; может утверждаться в качестве стандарта, в том числе национального или международного), см. nomenclature

  4. 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

  5. Классификация

  6. N классификация language typological ~ типологическая классификация classificatory a классификационный matrix classifying a классифицирующий article

  7. 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

  8. Классификация; категоризация; сортировка

  9. 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.

  10. 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.

  11. A systematic organization of classes.

  12. 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.

  13. The type of updates that sce downloads from microsoft update during synchronization.

  14. 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.

  15. A code which provides a method for categorizing the invention.

  16. The code for a specific type of complementary work or variation.

  17. Классификация, номенклатура


Undirected graph, английский
    An undirected graph is a graph that contains a finite number of nodes as well as undirected links between some of those nodes. figure u. 1 shows an example of an undirected graph. note that it contains two directed arcs (ad, dc). figure u.1 —


Arcing, английский
  1. Arcing techniques are a general class of adaptive resampling and combining techniques for improving the performance of machine learning and statistical techniques. two prominent examples include adaboost and bagging. in general, these techniques iteratively apply a learning technique, such as a decision tree, to a training set, and then reweight, or resample, the data and refit the learning technique to the data. this produces a collection of learning rules. new observations are run through all members of the collection and the predictions or classifications are combined to produce a combined result by averaging or by a majority rule prediction. although less interpretable than a single classifier, these techniques can produce results that are far more accurate than a single classifier. research has shown that they can produce minimal (bayes) risk classifiers. see also: adaboost, bootstrap aggregation.

  2. An electrical discharge between the edges of metal semiconductor package and the metal heat sink on which it is mounted.

  3. Electric current flow through a gap, often accompanied by intense heat and light.1