Examples of using Input data in English and their translations into Serbian
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Input data analysis.
This method blocks until input data is available.
Input data for mathematical projections.
In the field of automation,stepping from step to step depends on input data coming from the machine itself.
The input data is limited to natural numbers, then this program would not be.
It would mean that in every case,your function perfectly guessed the price of the house based on the input data.
Input data from the database are used to generate computational models in 2D or 3D(Figure 1).
For example, vector quantization is the application of quantization to multi-dimensional(vector-valued) input data.
In some applications, the input data may contain features that are irrelevant for comparison purposes.
The compression ratio is sometimes stated as being"up to 4:1" as it is common to use 16-bit precision for input data rather than 8-bit.
The input data will only be used for the purpose of using the relevant site or service for which you have registered.
It also included any data contributed based on input data that was not compatible with the new terms.
The input data willonly be used for the purpose of using the respective site or service for which you have registered.
In those situations, one needs a hash function which takes two parameters-the input data z, and the number n of allowed hash values.
When the input data sequence x[n] is N-periodic, Eq.2 can be computationally reduced to a discrete Fourier transform(DFT), because.
In practical programming,this is important as it allows us to predict how our algorithm will behave when the input data becomes larger.
On a repetition, insertion sort removes one element from the input data, finds the location it belongs within the sorted list, and inserts it there.
For some functions(such as one that computes the series for e= 1/0!+ 1/1!+ 1/2!+ 1/3!+…)there is not an obvious base case implied by the input data;
For most types of hashing functions, the choice of the function depends strongly on the nature of the input data, and their probability distribution in the intended application.
We focus on the soft-margin classifier since, as noted above, choosing a sufficiently small value for λ{\displaystyle\lambda}yields the hard-margin classifier for linearly classifiable input data.
These patterns can then be seen as a kind of summary of the input data, and may be used in further analysis or, for example, in machine learning and predictive analytics.
Efficient sorting is significant for optimizing the use of other algorithms(like search and merge algorithms)which require input data to be in sorted lists;
These patterns can then be seen as a kind of summary of the input data and may be used in further analysis or, for example, in machine learning and predictive analytics.
In data analysis applications, such as image processing,a lookup table is used to transform the input data into a more desirable output format.
These patterns can further be viewed as a sort of a summary of input data, alongside can be utilised in further analysis, for example, in machine learning techniques and anticipating or foresee analytics.
To prevent the“Not Secure” notifications from appearing when Chrome users visit your site, only collect user input data on pages using HTTPS.
Misclassified input data gain a higher weight and examples that are classified correctly lose weight.[note 1] Thus, future weak learners focus more on the examples that previous weak learners misclassified.
Typically, it is assumed that w≥ log2(max(n, K)); that is, that machine words are large enough to represent an index into the sequence of input data, and also large enough to represent a single key.
Students are trained to apply software for fast transients numerical simulations,to prepare input data and to estimate minimum data for obtaining reliable resultsContentsContents of lecturesModels of electrical power networks with lumped and distributed parameters.
Though the quality of automatic parallelization has improved in the past several decades, fully automatic parallelization of sequential programs by compilers remains a grand challenge due to its need for complex program analysis andthe unknown factors(such as input data range) during compilation.