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Generalized upper model
| Глоссарий по искусственному интеллекту |
The generalized upper model is a task-independent and domain-independent ontology that supports natural language processing in english, german, and italian. it contains a hierarchy of about 250 concepts and a separate hierarchy for relationships. see also: ontology, http://www.darmstadt.gmd.de/publish/komet/genum/newum.html general problem solving (gps) inference engine gps sought a series of operations that would eliminate the difference between an initial state and a final goal. it used a means-ends analysis to determine the individual steps. newell, shaw, and simon developed the gps inference engine. see also: means-ends analysis. general regression neural network (grnn) a general regression neural network (grnn) is the continuous analog of donald specht`s probabilistic neural networks (pnn). rather than return a 0-1 signal from each hidden unit that the input case matches, it
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Generalized, английский
- A генерализован- ный, расширенный; обобщенный grammar, marker, transformation generalizing a генерализирующий, абстрактизи- рующий article
- Общий; обобщенный; универсальный
- Ка rhunen-loeve transform, gklt обобщенное преобразование карунена-лоэва
Independent, английский
- One who logs and sells his output on the open market; not associated with a mill or under company or dealer contract (19).
- Независимый; автономный
- Независимый, автономный
- Независимый, самостоятельный; рантье (лицо, живущее на доходы от капитала)
- Независимый
- A независимый
- A merchant ship under naval control, but sailing alone and unescorted by any warship.
Processing, английский
- Обработка (напр. данных); технология
- N обработка cognitive ~ когнитивная обработка language ~ когн.
- Обработка ~ of materials обработка [переработка] материалов
- A language originally designed for artists to allow them to do simple graphical design programs in a movie like paradigm.
- The preparation or packaging of fish to render it suitable for human consumption, retail sale, industrial use, or long-term storage, including but not limited to cooking, canning, smoking, salting, drying, filleting, freezing, or rendering into meal or oil, but not heading and gutting unless additional preparation is done.
- Under the gdpr, “processing” is any operation that is performed on personal data. this includes collection, recording, organisation, structuring, storage, adaptation, alteration, dissemination, erasure or destruction.
Relationships, английский
The lifestyle subcategory containing apps to help you with your personal relationships.
Operations, английский
- Research, incorporated фирма «оперейшнз ресерч ивкорпо- рейтед»
- Field movements, whether offensive or defensive.
- Операционный отдел (в инвестиционном банке)
Difference, английский
- Disagreement, inequity, contrast, dissimilarity, incompatibility
- Разница; разность
- An important army term, meaning firstly the sum to be paid by officers when exchanging from the half to full pay; and, secondly, the price or difference in value of the several commissions.
Individual, английский
Физическое лицо
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
Continuous, английский
- Непрерывный
- Непрерывный; длительный; продолжающийся
- A продолженный, дли- тельный, непрерванный form, future, past, present contoid n контоид
- Непрерывный, неразрывный, сплошной, неразрезной (об элементах конструкции)
Probabilistic, английский
- Вероятностный
- Attribute of non-deterministic systems whose transitions between states follow known or ascertainable probabilities (->probability). the ergodic behavior of probabilistic systems is describable as a markov chain. probabii.ity
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Contrast enhancement, английский
The general function of a f2 layer in an art network. the most common version is a winner-take-all function. see also: art, ftp:://ftp.sas.com/pub/neural/faq2.html, http://www.wi.leidenuniv.nl/art/.
Unsupervised learning, английский
The goal of unsupervised learning is for a computer to process a set of data and extract a structure which is relevant to the problem at hand. this can take different forms. in cluster analysis and some forms of density estimation, the goal is to find a small number "groups" of observations which have a simple structure. graphical and other forms of dependency models reduce the interrelations between the variables to a smaller number. in neural networks, unsupervised learning is a form of cluster analysis or density estimation, where the network is being trained to reproduce the input. it is also referred to as auto-association. prominent techniques include kohonen networks and hebbian learning. see also: supervised learning.
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