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In the case of Supervised Users, a Chromebook user with full permissions can visit chrome.com/manage to control and edit their kids' (or other supervised users') accounts.
In the case of supervised empirical assessments, discrepancy measures are employed for computing measures of dissimilarity between a reference polygon and an image object candidate.
Non-linear methods that also take into account the classification goal can be especially useful in the case of supervised tasks and may compete with the human expert.
In the case of supervised learning, we are given a set of examples and to aim to infer the mapping based on the data in the training and other data sets.
In the case of supervised cc-Biclustering, we correlated the co-expression of the subset of genes within a bicluster with ALT.
The main disadvantage of machine learning methods is the already mentioned need, in the case of supervised learning, for large amounts of annotated training data.
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The HNN MLSE equalizer does not have to be trained by providing a set of training examples as in the case of conventional supervised neural networks [28].
4. Can the low-dimensional representation of signaling networks be used for predictive (supervised) modeling of cellular responses, i.e. apoptosis intensity? 5. Are there any differences in performance between linear and nonlinear dimensionality reduction techniques in the case of both supervised and unsupervised learning (i.e. PCA vs. Isomap)?
In the case of semi-supervised training, when no transcripts are available for the foreign data, experimental results reveal that speaker-independent systems still benefit significantly from foreign data.
This is in fact the main disadvantages of supervised learning algorithms in the case of probabilistic methods, adding to the fact that it could be computationally costly to learn each context in a probabilistic model for an infinite richness or large diversity of contexts in real world application scenarios (see [42]).
It is common, especially in large-scale biometric systems, to have a supervised enrolment process as in the case of the India's Aadhaar project.
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