Opposite of generalise. Generalize Synonyms, Generalize Antonyms

studio.shapeways.comlize

Opposite of generalise

The lines affected by the algorithm can be specified by the layer, cats and where parameters. It denotes the minimal angle in degrees between two consecutive segments of a line. Given a line, this algorithm removes the points of this line which are closer to each other than threshold. It is important not to exaggerate the importance of the fact that gains may not generalize to other exams, Even if an accountability program produces true, meaningful gains, we would not expect gains on one test to be completely reflected in data from other tests because of the inherent differences across exams. Note that Boyle's, McMasters' and Snakes algorithm are sometimes used in the signal processing to smooth the signals. All three parameters above can be presented at the same time.

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Generalize synonyms, generalize antonyms

Opposite of generalise

The following smoothing algorithms are implemented in v. In some cases, this is achieved by inserting new vertices into the original line, and can total up to 4000% of the number of vertices in the original. This module consists of algorithms for line simplification, line smoothing, network generalization and displacement new methods may be added later. Aggregration Aggregration is a process when relation between two entities is treated as a single entity. Line simplification is a process of reducing the complexity of vector features. This number determines which table to use.

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Generalization

Opposite of generalise

The opposite of stimulus generalization is stimulus discrimination. For more iterations, the property above does not hold, but the computed lines are very similar to the Bezier Splines. In general, the degree of simplification increases with the increasing value of threshold. It is a top-down approach in which one higher level entity can be broken down into two lower level entity. When you have shown than something is true of an arbitrarily chosen individual, the rule of universal generalization allows you to infer that it is true of all individuals.

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Generalise

Opposite of generalise

Two features interact if they are closer than threshold apart. In logic, the opposite to generalization is instantiation. Good starting points for values of iterations are between 10 and 100. In specialization, a higher level entity may not have any lower-level entity sets, it's possible. The parameter slide is used for linear interpolation between the original position of the point and newly computed position where value 0 means the original position. This means that this parameter can be used for selecting the centre s of a network.

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Generalization Synonyms, Generalization Antonyms

Opposite of generalise

For more information, see for example:. Provide details and share your research! Snakes Algorithm is asymptotically the slowest among the algorithms presented above. Although specific is an apt antonym for the sense of general from which the verb to generalize derives its meanings, the verb from to specify is not a particularly good antonym for most of the meanings of to generalize. The interventions described in the article do not necessarily generalize to children with shaken-impact syndrome, which usually results in a more significant intellectual impairment; and the interventions do not necessarily generalize to children with cognitive symptoms associated with such medical conditions as stroke, aneurysm or tumor. For example, a conditioned to salivate to a tone of a particular pitch and loudness will also salivate with considerable regularity in response to tones of higher and lower pitch.

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Generalization Synonyms, Generalization Antonyms

Opposite of generalise

One of the key advantages of Hermite Interpolation is the fact that the computed line always passes through the points of the original line, whereas the lines produced by the remaining algorithms never pass through these points. This method generally yields very good results; however, it requires a lot of memory and is not very efficient. The generalized response is predictable and orderly: it will measure less than that elicited by the original tone and will diminish as the new tone departs increasingly from the original. Stimulus Generalization: Stimulus generalization occurs when a conditioned response can be seen in response to stimuli which are similar to but different from the original conditioned stimulus. In the diagram above, the relationship between Center and Course together, is acting as an Entity, which is in relationship with another entity Visitor. In such an instance, it is always a good idea to simplify the line after smoothing.

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Generalization, Specialization and Aggregation in ER Model

Opposite of generalise

Input parameters: input, threshold, reduction. Most likely the best way to find the good values of alpha, beta is by trial and error. This value is large for the lines which lie between other lines and lie on the paths between two parts of a network. The module transforms a line into another line consisting of fewer vertices, that still approximate the original line. While individuals exhibited stimulus generalization demonstrate the conditioned response when presented with stimuli similar to but different from the conditioned stimuli, stimulus discrimination refers to an individual's ability to discriminate between similar stimuli and only demonstrate the conditioned response when presented with the correct conditioned stimulus.

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Opposite word for generalization

Opposite of generalise

This algorithm quite reasonably preserves the global characteristics of the lines. This algorithm works very well for small values of alpha and beta between 0 and 5. It would help if you clarified the sense of generalization that you want to oppose, and especially if you gave an example of how you want to use the word you're after. This value is always positive and is larger for large networks. The disadvantage of the two algorithms given above is that they increase the number of points. The algorithm calculates three centrality measures for each line in the network and only the lines with the values greater than thresholds are selected. It denotes to what extent a line is in between the other lines in the network.

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