As described earlier in the text, our method based on supervised reaction-filling framework has the potential to suggest possible reactions among large number of known chemical compounds not only with known chemical transformation patterns but also with unknown transformation patterns.
- Supervised and semi-supervised training – We distinguish between supervised and semi-supervised training.
To show their feasibility, we develop a prototype artificial immune system able to assist decision makers in performing several disturbance management functions, such as detection of disturbances, construction of reaction strategies, supervised learning and memory of previous experiences with disturbances.
The L1SVM method clearly outperformed the BASELINE method regardless of fingerprints, which suggests that supervised learning is meaningful for reaction prediction.
Public authorities, however, finally decided on a voluntary, supervised EL rollout because of the reactions of the established stakeholders.
No reaction was observed following a supervised oral peanut challenge test 3 months after her transfusion.
Identifying patients with either known drug side effects (Type A) or non-severe delayed reactions (Type B) may potentially allow for supervised re-challenge to aid appropriate antimicrobial therapy [ 11].
We propose a supervised approach to learn what we refer to as ' multistep reaction sequence likeness', i.e. whether a compound compound pair is possibly converted to each other by a sequence of enzymatic reactions.
We propose a supervised approach to learn what we refer to as ' multi step reaction sequence likeness', i.e. whether a compound compound pair is possibly converted to each other by multiple enzymatic reactions, as an extension of the previous work (Kotera et al., 2013b).
If this were measurable, it may be possible to mix training datasets on-the-fly and rebuild supervised classification models to reflect the context of the antecedent event and measure public reaction in real-time.
We make a brief review of the previous method to predict the enzymatic-reaction likeness, i.e. whether a compound compound pair is possibly converted to each other by an enzymatic reaction (Kotera et al., 2013b), which is solved by the following supervised classification problem.
