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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.

"I think it's much more effective if they experience that learning based on their need".

Machine learning based methods are also abundant in literature.

These machine learning based methods have achieved promising predictive performances.

Machine learning based approaches use existing knowledge to help identify drivers.

Statistical learning based on image feature extraction can be a possible solution to address these challenges.

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Machine learning-based methods combine scores from physics-based energies and statistical potentials.

Q-learning based routing protocol.

"An ecosystem doesn't exist for anything deep-learning based".

We pursue our dictionary-learning-based approach for biological data, based on the following two motivations.

It is learning-based, not rite-based.

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