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Classifier ensembles
| Глоссарий по искусственному интеллекту |
One method of improving the performance of machine learning algorithms is to apply ensembles (e.g., groups) of classifiers to the same data. the resulting classifications from the individual classifiers are then combined using a probability or voting method. if the individual classifiers can disagree with each other, the resulting classifications can actually be more accurate than the individual classifiers. each of the individual classifiers needs to have better than a 50 percent chance of correct classifications. figure c.2 —
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Classificare, латинский
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
Performance, английский
- Показатель деятельности. степень эффективности деятельности. производительность.
- (технические или летные) характеристики
- A way in which something works the doctors are not satisfied with the performance of the transplanted heart.
- N 1 действие; актив- ность; 2 употребление (н. хомский, см. тж. competence 2) linguistic ~ употребление языка, языковая активность (н. хомский, см. тж. linguistic competence) 1 стихотворный размер. 2 обозначающий действие, уже законченное по отношению к данному. performative a перформативный | n тра пер- форматив3 verb
- Эксплуатационные качества, ходовые качества
- Exhibition of gaits or other required routines.
- Microsoft edge developer tool to profile a web page frame rate. this tool helps you see what is happening behind the scenes when your pages are slowing down.
- The degree to which a product or service executes its specified function.
- Результаты деятельности
- A term contrasted with competence which refers to the speaker`s actual language production.
Algorithms, английский
Complex mathematical formulae or rules used to solve complex problems in cctv they are used to achieve digital compression of a video picture.
Individual, английский
Физическое лицо
Probability, английский
- Probability can be generally defined as a measure of how likely some event will occur. the event could be an explosion, a lottery win or perhaps cancer induction. mathematically speaking, the value of probability varies between 0 and 1 where 0 means an ev
- Вероятность. возможность.
- The probability of an event is a number between zero and 100%. the meaning (interpretation) of probability is the subject of theories of probability, which differ in their interpretations. however, any rule for assigning probabilities to events has to satisfy the axioms of probability.
- Вероятность
- Вероятность probability sample, syn. random sample
- Вероятность. мера случайности появления конкретного события. например, вероятность случайного выбора из популяции человека с конкретным качеством соответствует доле людей в популяции, обладающих этим качеством.
- Вероятность; возможность
- Вероятность; обеспеченность (гидрологической величины) ~ of no-failure вероятность безотказной работы
- Probability is a method for representing uncertainty about propositions or events. it represents the uncertainty about a proposition on a scale from 0 to 1, with a 0 representing complete certainty that the proposition is false or an event will not occur and a value of one will represent the opposite. formally, a probability measure is one that follows kolmogorov`s axioms. there are two main schools of thought on the meaning of probability. frequentists take a narrow interpretation of probability allowing only hypothetically repeatable events or experiments as being quantifiable by probability, while bayesians take a broader interpretation that allows reasoning about "one-shot" events and propositions based on the current knowledge about nature. the bayesian interpretation is most commonly used in artificial intelligence, while the frequentist interpretation is most commonly taught in statistics courses. the label "bayesian" arises from the central role that the bayes theorem plays in this use of probability. it allows one to reason from effects to causes and encourages the use of probability measures to describe supposedly fixed events or propositions which frequentists disallow. the probability for these events reflects one`s state of knowledge about the event, rather than being an assertion that the unknown event can vary. for example, a bayesian would have no qualms about making statements about the probability that a given die, rolled and hidden from his sight is, for example, a six. a frequentist would be unable to make such a statement, preferring to talk about his confidence in the method when applied to a hypothetically large number of repeated experiments. in the end, they would act in similar ways. when the long run data are available, bayesians and frequentists end up with the same estimates. see also: bayes theorem, kolmogorov`s axioms.
- Вероятность. математическое измерение возможности появления неко-его события, выраженное в виде дроби или процента [30]. значения статистической вероятности лежат в пределах от 1 или 100 процентов (всегда) до 0 или 0 процентов (никогда) [20]. наибольшее приближение к истинной вероятности дает относитель-ная частота события, полученная на основе большой серии измерений или результа-тов [33]. вероятность может быть также определена как выражение в некоторой неопределимой форме "степени уверенности" или как предельная частота события в бесконечной случайной последовательности [49].
- The likelihood of something happening. for example, sale being made.
- Вероятность. математическое измерение возможности появления некоего события, выраженное в виде дроби или процента [30]. значения статистической вероятности лежат в пределах от 1 или 100 процентов (всегда) до 0 или 0 процентов (никогда) [20]. наибольшее приближение к истинной вероятности дает относительная частота события, полученная на основе большой серии измерений или результатов [33]. вероятность может быть также определена как выражение в некоторой неопределимой форме "степени уверенности" или как предельная частота события в бесконечной случайной последовательности [49].
- The relative likelihood of a particular outcome among all possible outcomes.
- Likelihood that an event may occur, expressed as a number between 0 and 1.
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Node coloring, английский
Node coloring is a technique for examining or selecting important nodes in a graph-based model. each node in the target graph is evaluated with respect to some importance measure, and assigned a "color" to match the importance. a plot of the graph can then be examined to evaluate the important nodes. this is used, for example, in the examination of belief nets. see also: graphical model, belief net.
Pandemonium, английский
One of the earliest attempts (1959) at machine learning, using an approach similar to a neural network. lowerorder demons learned to simplify features in the input data which were passed up to higher-order demons, etc. see also: machine learning, artificial neural networks.
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