| 词汇 | example_english_dimensionality-reduction |
| 释义 | dimensionality reductioncollocation in Englishmeanings of dimensionalityand reductionThese words are often used together. Click on the links below to explore the meanings. Or, see other collocations with reduction. dimensionality noun[U] uk /ˌdaɪ.men.ʃənˈæl.ə.ti/ us /dɪ.men.ʃənˈæl.ə.t̬i/ approving the quality of having many different features or qualities, especially in a way that makes something seem real, rather than being ... See more at dimensionality reduction noun uk /rɪˈdʌk.ʃən/ us /rɪˈdʌk.ʃən/ the act of making something, or of something becoming, smaller in size, amount, degree, ... See more at reduction Examples of dimensionality reductionThese examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. Chapter 6 starts with a compelling case for both feature selection and feature extraction, both of which can help with dimensionalityreduction. At present, the dominant approach to dimensionalityreduction in epidemiological inquiry is through the use of multivariable models. Finally, we discuss the implications of functional features for object categorization, conceptual development, chunking, constructive induction, and formal models of dimensionalityreduction. Preprocessing was again used in dimensionalityreduction to create feature vectors, and categorization proceeded as a sequential process based on manual selection of diagrams. The success of time series prediction tasks depends on various issues, including problem dimensionalityreduction, context representation, as well as knowledge representation and acquisition. After dimensionalityreduction has been performed, a system of inequalities remains to be solved. The following subsections describe some widely accepted methods of performing dimensionalityreduction. What is required is a representation that makes a compromise between dimensionalityreduction and information loss. Although previous researchers have addressed this problem with an unsupervised dimensionality reduction algorithm,21 this method did not exploit physical class knowledge that could be inherited from supervised classifiers. A different approach to nonlinear dimensionalityreduction is through the use of autoencoders, a special kind of feed-forward neural networks with a bottle-neck hidden layer. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Many of these non-linear dimensionalityreduction methods are related to the linear methods listed below. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Dimensionalityreduction may also be appropriate when the variables in a dataset are noisy. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. The linear filtering stage performs dimensionalityreduction, reducing the high-dimensional spatio-temporal stimulus space to a low-dimensional feature space, within which the neuron computes its response. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. A remedy to this problem is to reduce the number of features in an informative sense (see dimensionalityreduction). From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. They have been found to be particularly useful for rule induction and feature selection (semantics-preserving dimensionalityreduction). From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. In order to reduce the dimensionality of the feature space, a number of dimensionalityreduction techniques can be employed. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. The resulting combination may be used as a linear classifier, or, more commonly, for dimensionalityreduction before later classification. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. Therefore, dimensionalityreduction is frequently employed to map high-dimensional data to a low-dimensional space while retaining as much information as possible. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. The created data space is then usually reduced by a following feature extraction (see also dimensionalityreduction). From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. Want to learn more? Go to the definition of dimensionality Go to the definition of reduction See other collocations with reduction |
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