Sentence examples for models learnt from inspiring English sources
Besides the hours of qualified work that can be saved, the models learnt can be stored and reused (without training) so as to homogenize criteria among different researchers.
HHMMiR scores each candidate by calculating the ratio of the log-likelihoods generated by the positive and negative models (learnt from known pre-miRNAs and random hairpins, respectively).
After normalization, we obtain acoustic words and topics according to the dictionary and topic models learnt over the training corpus.
Predictive performance of the models derived from the sparse data sets were compared with models learnt from the complete data sets to assess how much performance was lost through data removal.
Table 5 Action recognition accuracy of our individually normalizing method for IXMAS dataset using the models learnt from HumanEva dataset compared with the method prosed in [[43]] Accuracy Punch Wave Throw a ball Walk All actions Ind-normal 75.0 75.0 75.075.075.0 [43] 86.8 75.0 82.4 75.0 82.2.
We define the Block instability noted BIS for a pair of hyperparameters by measuring how the two Jacobian matrices built from two models learnt from two different subsamples differ in average.
Since we used 100 visual words to train the Sparse SURF model, it is easy to inspect what the model learnt.
Figure 3 shows an overview of the hyper magician robot, where Figure 3(a) and (b) show a hand model learnt by human and its highly deformed model, respectively.
where f is defined as the activation function, WSAE and b are defined as local feature coefficients that the SAE model learnt, x' is defined as the value of the convolution sub-region in the training image sample, and Wwhite is defined as the ZCA whitening factor in the whitening process.
They make use of a probabilistic model, learnt from the promising solutions, to guide the search process.
This model can then be applied prospectively where the model, having learnt from a large amount of data in the past, can to a degree of accuracy make a prediction of rupture risk in the patient.
