In general, the classifier function is not known a priori and has to be learned by training the classifier using examples (training data).
Additionally, each food source stores its quality (fitness), which is given by the accuracy of the classifier using the feature subset indicated by the bit vector.
First, we classify each pixel by the classifier used in one-stage classification.
For this purpose, we have evaluated the WDO value obtained by the separation algorithm when the classifier uses different sizes of the time-frequency footprint, varying Nfreqs and Nframes from 0 to 6 independently, using the features defined in SET2.
The comparison is performed in terms of the avarage WDO value obtained by the separation algorithm when the classifier uses each set of features, using the database of speech and noise mixtures previously described, with SNR of 0, 3, and 5 dB.
Context-dependent conclusions are usually driven by empirical observations concerning both the classifier used and the imbalance degree.
Interestingly, even in case of high amounts of benign background (up to 80% dilution), the classifier used by Chudova et al (2010) correctly recognised thyroid malignancy in the majority of their investigated FNA samples.
We assessed the transcriptional heterogeneity within the four breast cancer subtypes as assigned by the PAM50 classifier using gene expression data from The Cancer Genome Atlas (TCGA) breast cancer project (N = 547; Table 1) [ 4].
Figure 5 (a) Unexploded shell from Cell no. 7, and (b), (c) the two false alarms obtained by the SVM classifier using k and R as discriminators.Shell at no. 7Twisted chainCrumpled debris.
