noun
COLLOCATIONS FROM CORPUS
■ ADJECTIVE
genetic
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For neural nets and genetic algorithms , it is not so much fallible as crude.
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About half that many papers dealt with genetic algorithms .
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The idea of genetic algorithms is to mimic natural Darwinian selection of genetic codes.
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The method involved forms half of a genetic algorithm .
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The full genetic algorithm will be described below.
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Enthusiasts for genetic algorithms do not seem worried about this.
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The random part is what makes genetic algorithms slow.
simple
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An extremely simple algorithm which does this runs thus.
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It would differ very greatly in degree from the simple algorithm of the thermostat, but need not differ in principle.
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Several flaws in the simple bucket brigade algorithm arise only if the search path is long.
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There is a well known simple algorithm for doing this.
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Fractals, using simple mathematical algorithm to produce complex objects typical of those which occur naturally.
■ NOUN
search
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The search algorithms commonly used in the real world are almost invariably the very simplest.
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The basic search algorithm is as before, except that actions are of two sorts.
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Figure 9b shows the space which a naive search algorithm will explore for this task.
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The principal datum input to any search algorithm is a description of its search space.
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We shall soon see that some good search algorithms involve remembering many states.
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Most speech systems have used variations on these two types of admissible search algorithm .
■ VERB
decide
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There are even certain particular selections of initial list for which there is no algorithm for deciding when two words are unequal.
develop
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The purpose of this research is to develop a more adaptive algorithm which can be run on a micro- computer.
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According to the Forum, these can also be used to develop algorithm applications.
find
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With admissible or near-admissible algorithms the search can end as soon as a spanning hypothesis has been found .
learn
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An unsupervised learning algorithm might emphasize cooperation among clusters of processing elements.
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Weights, summing and transfer functions, and learning algorithms all rely heavily on mathematics.
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How the interconnection weights are changed is the function of the learning algorithm .
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Learning / Training Researchers are continually seeking better learning and training algorithms .
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There are no standards for learning algorithms or for training networks.
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Their goal is to advance both hardware implementation and learning algorithms .
use
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When files are randomly organized using an algorithm , the device must first be initialized to remove all prior data.
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Neural networks may be used for algorithm development as well.
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This gives a total of 16 out of 36 which could be solved using standard error correction algorithms .
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They may use resulting algorithms to better understand the brain and duplicate some of its functions.
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Woods solution was to use this algorithm with the island-driving search strategy.
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To allow a similar flexibility using algorithms would be an overwhelming task.
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According to the Forum, these can also be used to develop algorithm applications.
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It uses a Wavelet algorithm for video compression and provides compact disk quality audio and broadcast quality video.
EXAMPLES FROM CORPUS
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An unsupervised learning algorithm might emphasize cooperation among clusters of processing elements.
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It might seem that a suitable algorithm could be found which would not generate synonyms.
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Spelling correction algorithms usually suggest a few alternative words which are in some sense similar to the detected misspelled word.
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That is no algorithm at all.
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To see how this arises in detail suppose we have such an algorithm that is sometimes effective.
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Weights, summing and transfer functions, and learning algorithms all rely heavily on mathematics.
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When files are randomly organized using an algorithm , the device must first be initialized to remove all prior data.
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With knowledge of the particular error, it is possible to implement some correction algorithms.