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Number of paramepage
| Глоссарий по искусственному интеллекту |
9 ters in the model. increasing the complexity of the model will only improve the aic if the fit (measured by the log-likelihood of the data) improves more than the cost for the extra parameters. a set of competing models can be compared by computing their aic values and picking the model that has the smallest aic value, the implication being that this model is closest to the true model. unlike the usual statistical techniques, this allows for comparison of models that do not share any common parameters. see also: kullback-liebler information measure, schwartz information criteria.
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Numb, английский
Entumecido
Numbdness, английский
Number, английский
- A numeral or group of numerals
- Число; номер
- Количество; число
- Номер; число
- N число
- Номер
- The number on the ship`s books is marked on the clothing of seamen; that on a man`s hammock or bag corresponds with his number on the watch and station bill. the ships of the royal navy are denoted by flags expressing letters, and when passing or nearing each other the names are exchanged by signals.—losing the number of the mess, is a phrase for dying suddenly; being killed or drowned.
- An identification code assigned to both naval ships and merchantmen (see official number and hull number). a vessel hoisting the appropriate flags or otherwise signaling it is said to “make her number.” number-in-grade: a usn register of precedence among officers of the same rank. the lower the number the greater the seniority.
- A sequence of alphanumeric characters in a number system.
- Номер, число, количество
- Номер, число
Number, английский
Number ( no ), английский
Номер
Number (no), английский
Номер
Number 3, английский
Means, essentially, dames is grief. example ray did you get anywhere with ellen? bob number 3, man, number 3.
Number 8 vent valve, английский
Number adder, английский
Сумматор чисел
Number address, английский
Адрес числа
Number attribute, английский
Атрибут количества; описатель количества
Number code, английский
Код числа
Number coding, английский
Кодирование чисел
Number converter, английский
Преобразователь чисел; преобразователь чисел из одной системы счисления в другую
Number cruncher, английский
Number crunching, английский
Решение числовых задач большого объема number-crunching application приложения с большим объемом вычислений
Number designation, английский
Запись числа
Number exponent, английский
Number fonts, английский
Числовые шрифты
Number generator, английский
Генератор чисел
Number group, английский
Группа чисел; массив чисел
Increasing, английский
Complexity, английский
- Сложность
- Сложность; уровень сложности; комплексность
- Что-либо сложное
Likelihood, английский
- Вероятность. правдоподобие.
- Правдоподобие; вероятность
- In probabilistic and statistical methods, the likelihood is a measure of the evidence for the data when a hypothesis is assumed to be true. it is commonly used in bayesian and quasi-bayesian techniques. a related measure, minimum message length, can be derived from information theoretic principles. as an example, suppose you observe a data value x that is assumed to be gaussian. the likelihood for that data when the assumed mean is, say, 5, and the variance is 10, is proportional to e-((x-5)2/2*10), the kernel of a gaussian distribution. a likelihood is typically calculated using the kernel, rather than the complete distribution function, which includes the normalizing constants. see also: minimum message length.
Parameters, английский
Параметры
Implication, английский
N импликация implicature n импликатура implicit a имплицитный, скрытый, неявный (ант. explicit) 1 пропозициональное значение. 2 термин используется для маркирования детских языковых рас- стройств, не имеющих в качестве причины локализованные мозговые повреждения подобно афазии взрослых, – специфические, надежные мозговые маркеры не идентифицированы до настоящего времени. implicitation n импликация; имплицитность (ант. explicitation) implied a подразумеваемый; предполагаемый sense implosive n имплозивный
Statistical, английский
Comparison, английский
- (логическое) сопоставление a) an ordinary comparison of two objects belonging to the same classes (v.a.k.) she is like her mother. b) weighing two objects belonging to one class of things with the purpose of establishing the degree of the
- Сравнение, сличение
- Сравнение
- N сравнение compensation 30 concept degree of ~ степень сравнения (тж. degree)
- Сравнение; сличение; сопоставление; компарирование
- This is an operation that compares things like if the values in two variables are equal. in processing the equals comparison is done with the double equals: ==. in netlogo it is done with a single equals: =. other comparisons are things like not equal and greater than.
- Short for "comparison ticket," a memorandum between two brokers that confirms the details of a transaction to be carried out.
Information, английский
- Knowledge of a particular event or situation, or knowledge communicated or received concerning a particular fact.
- Информация
- Facts about something have you any information about the treatment of sunburn? the police won’t give us any information about how the accident happened. you haven’t given me enough information about when your symptoms started. that’s a very useful piece or bit of information. (note: no plural: some information; a piece of information.)
- N информация | attr. информационный flow, structure source of ~ источник информации 1 ранее использовался в более широком значении как ‘умозаключе- ние’. 2 получение выводных данных в процессе обработки информации и/или языка и само выводное знание, умозаключение; мыслительная операция, в ходе которой человек выходит за пределы данных в тек- сте сведений и получает новую информацию. 3 аффикс, вставляемый внутрь корня слова при словообразовании или словоизменении.
- In admiralty courts, implies a clause introduced into a citation, intimating that in the event of a party cited not appearing, the court will proceed in his absence.
- Информация; данные; сведения
- Координационный комитет ин4юрмации о проектируемых и возводимых объектах строительства
- Literally that which forms within, but more adequately
- Data that has been recorded, classified, organized, related or interpreted so that meaning is apparent.
- Contextualised data providing answer to a certain question decreasing uncertainty.
- Информация, сведения
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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.
State a b c, английский
A 0.5 0.25 0.25 b 0.3 0.3 0.4 c 0.0 0.3 0.7 see also: belief net, conditional. markov chain monte carlo (mcmc) methods a family of sampling-based methods for calculating the distribution of a belief net given a collection of data. generally, the unobserved values in a belief net are randomly initialized. the algorithm then cycles through the set of unobserved values, sampling from its distribution conditional on the current settings of other values. this process is repeatedly sampled until sufficient data is gathered to generate the desired answer. it allows one to compute far more than specialized belief net architectures do, including complicated multivariate probabilities and expectations over complicated regions of the data. see also: belief nets, probabilistic expert system.
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