Examples of 'algorithms are based' in a sentence
Meaning of "algorithms are based"
Algorithms are based refers to the fact that algorithms, which are sets of instructions for solving specific problems, are developed or designed using certain underlying principles, concepts, or methodologies. These underlying bases can include mathematical principles, logic, data structures, and programming paradigms. Algorithms form the foundation for computer science and are used to solve a wide range of problems, from simple calculations to complex optimization tasks
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algorithms are based
Deep learning algorithms are based on distributed representations.
The majority of current standardized video coding algorithms are based on hybrid video coding.
These algorithms are based on the same principle.
A large number of circular region detection algorithms are based on similar algorithms.
These algorithms are based on sequential solutions said accelerated.
However, the proposed radionuclide detection algorithms are based on statistical methods.
These algorithms are based on a few psychoacoustical assumptions.
It is analogous to reproduction and biological crossover, upon which genetic algorithms are based.
Most block cipher algorithms are based on this structure.
Algorithms are based on criteria specified by people.
The proposed training algorithms are based on robust statistics.
Algorithms are based on standard interior-point methods, and are suitable for large-scale problems.
Existing rate limiting algorithms are based on using packet queues.
AI algorithms are based on neural networks that need data to " learn ".
These branching type evolutionary algorithms are based on mutation and selection transitions.
See also
All algorithms are based on a single overarching mathematical foundation.
Most general-purpose factoring algorithms are based on the congruence of squares method.
The algorithms are based on profit.
UMAC and Poly1305-AES and several other message authentication code algorithms are based on universal hashing.
The aforementioned algorithms are based on the sequence features.
Both algorithms are based on dynamic programming but solve different problems.
Typical MC / no-MC decision algorithms are based on prediction errors.
Huge algorithms are based on simple programming concepts such as loops and variables.
Many of the morphological algorithms are based in combinations of these operations.
The detection algorithms are based on various clutter distributions and assessed automatically with a systematic methodology.
The coding and decoding algorithms are based on the following principles.
System algorithms are based on the innovative methodology of the Theory of Constraints.
Other text data detecting algorithms are based on contour detection and texture analysis.
Other algorithms are based on fixed priority rights, respectively linked to the initiator modules.
The system-modelling algorithms are based on meteorological predictions.
Parametric algorithms are based on the fact that the data is normally distributed.
For now, the machine-learning algorithms are based on data from hospital admissions.
The proposed algorithms are based on metaheristics ils and vns and incorporates these operators.
Most suffix array construction algorithms are based on one of the following approaches, [ 4 ].
Solving algorithms are based on first - order information.
The route optimization algorithms are based on quality and quantity of given data available.
Public-key algorithms are based on the computational difficulty of various problems.
The corresponding algorithms are based on the so-called index calculus method.
Most kernel algorithms are based on convex optimization or eigenproblems and are statistically well-founded.
Several divide-and-conquer algorithms are based on a certain geometric separator theorem.
Many times these algorithms are based on so called private and public key pair method.
Recursive algorithms are based on,.
In general, algorithms are based on the optimal estimation method.
All the proposed voltage algorithms are based on a multi-objective optimization function.
The most popular algorithms are based on Groebner bases, resultants, Macaulay matrices, or triangular decompositions.
Many cryptographic algorithms are based on the outline diagram in FIG . 1.
Quite specifically, the algorithms are based on families of homomorphic encryptions having a partial compatibility property.
The ellipse fitting algorithms are based on the 2D normal distribution fitted to the coordinate points.
A number of successful algorithms are based on learning ( supervised, semi-supervised or unsupervised ).
Specifically, these algorithms are based on temporal tracking of primitives ( generally points of interest ).
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These definitions were based on the following documents
It is based on existing literature and available data
Programme support costs based on allotments issued
Examples of using Algorithms
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Control algorithms are not affected by the change
Predictions using probability algorithms that are stored in my
The new algorithms were not isolated properly
