词汇 | sparseness |
释义 | sparseness noun[ U ] uk /ˈspɑːs.nəs/ us /ˈspɑːrs.nəs/(alsosparsity, uk /ˈspɑː.sə.ti/ us /ˈspɑːr.sə.t̬i/) the fact of being small in number or amount, often spread over a large area: 密度低 The sparseness of the population made it impracticable to provide separate schools for boys and girls.人口密度低使得男女生分校不现实。 The sparseness of evidence makes it difficult to assess if there is any connection.证据的稀少使得确认它们之间是否有关联变得很困难。 See sparse The sparseness of the crowd at the start of the campaign hinted at political apathy. The paper concentrates on the problem of data sparseness. The minimal stage set was effective despite its sparseness. Scarce, inadequate and not enough be at a premiumidiom be thin on the groundidiom chronic shortage dearth dearth of something gold dust insufficiently lack lacking like gold dustidiom long on something and short on somethingidiom lousy scarce scarcity scrubby shortage shortfall shy skinny thin Examples of sparsenesssparseness This sparseness is actually a factor throughout the book, despite the practical detail in the case studies. The sparseness of food resources kept population densities quite low prior to the development of agriculture. This is justified by the fact that sparseness is far more severe for lexical probabilities than for language model probabilities. This is a typical result of the data sparseness we have encountered while training the word-based model. We can overcome the problem of data sparseness by applying not co-occurring words but co-occurring clusters to the similarity of target words. When we consider the words with different inflectional and derivational suffixes different, then we have to deal with data sparseness. Some influence of temporal sparseness upon the strength of the feedback would be required in that case. Thus, one would expect the variance in the estimated responses to grow with increasing sparseness. We surmise that these constraints simply differ from corpus to corpus and are related to general data sparseness effects. Traditional attempts to tackle the problem of data sparseness include the class-based approaches and similarity-based approaches. To do this, we make use of some properties of sparse matrices since nearly all economic models display sparseness. Note that, due to data sparseness, all of these words, though related with soccer have less probability when compared to stem-based and noun-based models. This sparseness limits the communication necessary through the constraint network, and permits effective distribution of work among agents. The girth as another graph parameter controlling the sparseness of a graph is less well studied in this context. We should take into consideration the data sparseness problem because the data do not contain all phenomena of the language in most cases. See all examples of sparseness 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. |
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