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If they were using a bag of dead balls that someone slipped into the Yankee Stadium supply, their performances could be more readily understood.
While, in [50], an UA recall of 65.7% (arousal) and 65.4% (valence) was achieved using a bag of HMMs approach.
The importance of each of these features is evaluated using a bag of decision trees and the results are discussed in a latter section.
We ran the experiment using a bag of chips; perhaps not the healthiest thing one could be buying.
For these cases, the use of a text similarity tool (using a bag of word approach like eTBLAST or short similar sentences with SIPs) would fail because text similarity does not account for natural syntactic inconsistencies such as synonym use or grammatical variations.
For best results, use loose green tea and a tea ball or strainer, rather than using a bag of green tea.
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To permit a fair comparison of the two approaches, we therefore re-ran MDI using a bag-of-words likelihood model for the ChIP data.
We report all four BHI scores in Table 1, for the fused clusters defined by (i) the method of Savage et al. (2010); (ii) MDI using a bag-of-words likelihood and (iii) MDI using a multinomial likelihood.
They used a bag-of-words-based image retrieval technique to detect one of the keyframes which view is similar with the current view [36].
Near Duplicate Image Detection [16] uses a bag-of-visual-words with tf-idf weighting method into image similarity measures as well.
OKAPI BM25 [11] uses a bag-of-words retrieval function that ranks a set of documents based on the query terms appearing in each document, regardless of the inter-relationship between the query terms within a document.
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