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The relationship between the three mechanisms and five models is summarized in Table 1.
An approach to scenario recognition based on fully learned models is summarized below.
The performance between in-domain and out-of-domain language models is summarized in the Table 5. Model perplexity evaluated on a development data set was used for testing the quality of the language models.
A comparison of the TB functions between the two models is summarized in Table 1.
Our conception about systems biology models is summarized by the following idea.
Our approach for learning TF DNA binding specificity models is summarized in Figure 2. We design custom microarrays that contain genomic regions centered at putative TF binding sites.
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Three kinds of laminated glass models are summarized.
The detailed characteristics of these models are summarized in [32].
The main constrained PARAFAC models are summarized in Tables1 and2.
for these models are summarized in Table 1.
The drawbacks of existing finite element models are summarized.
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