Примеры использования Algorithms can на Английском языке и их переводы на Русский язык
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All these three algorithms can be realized in one.
Algorithms can be implemented as defined in compliant standards.
E-unification algorithms have been devised;for others it has been proven that no such algorithms can exist.
The less secure algorithms can be used for backward compatibility.
Fast algorithms such as decision trees are commonly used in ensemble methods(for example, random forests),although slower algorithms can benefit from ensemble techniques as well.
The less secure algorithms can be used for backward compatibility.
For example, if vertices represent the states of a puzzle like a Rubik's Cube and each directed edge corresponds to a single move or turn,shortest path algorithms can be used to find a solution that uses the minimum possible number of moves.
These algorithms can be used to both distort and resize a photo.
We also know that the idea of machine learning is that the same generic algorithms can be reused with different data to solve different problems.
Algorithms can be plugged together and can be compared with(e.g. model selection, statistical tests and visual plots).
If the robots are using different signals, independent of one another,then employing several algorithms can reduce your portfolio's overall risk by way of diversification.
Almost all such algorithms can be used provided the votes are counted electronically as the process takes a huge number of operations.
Ajtai et al. showed that probabilistic algorithms can achieve a slightly better approximation factor of β 2 O( n log log n/ log n){\displaystyle\beta =2^{On\log\log n/\log n.
Weaker algorithms can be enabled to support any Message Queuing applications that require them by adding the WeakHashAlgorithms registry key.
One advantage is that the algorithms can be terminated early and as long as at least one integral solution has been found, a feasible, although not necessarily optimal.
Better algorithms can squeeze a little more out of your camera sensor by producing more resolution, less noise, better small-scale color accuracy and reduced moiré.
Delay-based algorithms can, in principle, maintain a constant window size, avoiding the oscillations inherent in loss-based algorithms. .
Of course, algorithms can be programmed any way companies like, meaning that they may place a premium on qualities shared by professional journalists: credibility, intelligence, and coherence.
More sophisticated algorithms can exploit other information on the scene known a priori for example, symmetries in certain cases allowing the rebuilding of three-dimensional co-ordinates starting from one only position of the camera.
Machine learning algorithms can automatically identify complex Big Data patterns: for example, Google's AI is learning to translate content by processing large numbers of online documents already translated into relevant languages, while the AI of the biggest social network Facebook is learning to identify people on images using the database of the network's users.
The algorithm can take into account records in PDF-files and old medical cards.
The algorithm can be applied to other products.
This algorithm can be derandomized using the method of conditional probabilities.
The algorithm can be explained using an example of a one row profile.
The algorithm can be used for hierarchical clustering by repeatedly partitioning the subsets in this fashion.
Any quantum algorithm can be expressed formally as a particular quantum Turing machine.
The algorithm can be generalized to conic sections.
The program that realizes this algorithm can be as follows twolevel. mq4.
Examples of healing on this algorithm can be represented in a special article.
This simplistic implementation of Karn's algorithm can lead to problems as well.