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The tutors provide feedback on specific content knowledge and clinical skills during these supervised learning sessions, although not all learning sessions are supervised by tutors.

In "Through Silence", my favourite piece of writing here, they together come to understand these supervised naps as a kind of rehearsal for death.

The main disadvantage of these supervised methods is their dependency on labeling data.

Since these supervised weighting schemes are useful in sparse BOW representation, we use them on neural models and expect that better text representations are learned for sentiment analysis.

Participants from the CT + DS group completed their 20-min simulator driving sessions each time they came for these supervised sessions.

Despite being able to achieve a better classification performance than the unsupervised approaches, a critical problem with these supervised discretization schemes is the potential exposure of the genuine measurements or the genuine user pdf, since the constructed intervals serve as a clue at which the user pdf or measurements could be located to the adversary.

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These were supervised in the 1930's by Joseph T. Cukor, a cousin of the movie director George Cukor, and were described by Fortune magazine as "bursting with girls stitching diligently over long tables spread with rippling, exotic fabrics, with wacky designers, grave-faced fitters, blinking tailors and mannequins lolling about waiting for fittings".

These are supervised networks.

These are supervised one-on-one training sessions for individuals who have been 'prescribed' exercise by their doctor, most often for cardiovascular rehabilitation or clinically advised weight loss.

The vast majority of these methods (supervised learning) needs a training set of objects (molecules) to develop a decision rule that can be used to classify new entities (the test set) into one of the two mentioned classes [1].

These are supervised learning algorithms that can be used for classification and regression.

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