Exact(1)
For the labels not in the annotated data, if we are able to find some good (accurate and independent) reference features using external resources, we may achieve equally well performance as supervise learning.
Similar(7)
After this, the proposed MKCCA can be implemented in multiple types of learning, such as multi-view learning, supervised learning, semi-supervised learning, and transfer learning, with the reduced data.
In their work entitled "Supervised Learning Based Hypothesis Generation from Biomedical Literature," S. Sang et al. proposed a supervised learning-based approach to generate hypotheses from biomedical literature.
The training process uses supervised learning.
IBM's Watson, for example, uses supervised learning.
Dictionary-based methods [5, 7 11], Supervised learning methods [10], and.
Supervised learning algorithms are trained on the compressed feature space.
Machine Learning based proposals fall into two categories, supervised learning [24, 56] and unsupervised learning [38].
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