Sentence examples for features of length from inspiring English sources

Exact(5)

We therefore include character n-gram features of length 2 through 4, which is longer than typically used for genes and diseases.

In online features of length 200, The chain code occurrences for first 40, next 24, next 88 and next 48 are derived from skeleton image drawing order from 60 chain codes, 30 chain codes (odd position pixels), and from boundary pixels drawing order, 130 chain codes and 65 chain codes (odd pixels positions), respectively.

Given a training set {({{mathbf {x}}}_{{{mathbf {i}}}}), (y_{i})}, where (y_{i}) is a molecular label (active, not active) and ({{mathbf {x}}} in {{mathbb {R}}}^{D}) is a vector of features of length D, the first step consists of choosing a value for the parameter m, the number of tried attributes (0<m < D), which is used to determine the splits at each node of each tree.

Especially, in the selected 10 features of length 6, all the 5 inserted seeds and their reverse compliment sequences are included.

We can summarize the evidence for a giving domain sequence S as being binding in the following score: For the sequence features, we do, however, choose to decompose the RFC matrix into a series of residue subsequence features of length 3 6, to be able to more specifically pin point the exact local variation that was evidence for classification.

Similar(55)

Additionally, the feature of length has not been examined as extensively as luminance in the neurophysiological literature, however these results suggest that it would be a fruitful area of further study [19].

The performance of the SVM based models increases after adding a feature of length along with compositional vector.

Each image of the train and test set transformed to feature vector of length 356.

The feature vector of length 4,608 = 256 × 6 × 3 in this window was extracted as shown in Figure 7.

We have selected occurrences of chain code directions '1' to '8' for consecutive twelve chain codes from length 60 that results in feature vector of length 48.

The set of primary sequences for each mouse was therefore mapped into a numeric feature vector of length 100.

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