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Given a testing sequence of 206 nt, the spectral latent feature vectors were extracted by Algorithm 2 using the learned HMMs for the same poly(A) motif.
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Therefore, a 3-D FLC can be established using the learned results of a SVR.
Using the learned pattern from this training set, age was predicted on the temporary test set.
Second, the bnc module makes predictions on new examples using the learned network and CPDs.
Next, we describe how new networks are constructed using the learned functions.
Learning in SSS is performed using these labels, and the edges of the network are weighted using the learned models.
The PP method learns from the information-rich regions, and uses the learned knowledge to help the information-poor regions.
Often I say, you cannot use the learned concepts much.
We also use the learned projection matrix to classify the new samples.
Use the learned higher-level features to represent workflow motifs, 3.
Then it can use the learned words to score and rank newly published articles pertaining to the topic.
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