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7. Glossary
Abdurrahman Abul-Basher edited this page Jun 24, 2021
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Name | Description |
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Acquisition functions | These are heuristics functions employed to evaluate the usefulness of points (or examples) for achieving the objective function. |
A model hyperparameter | Configuration values that are external to a model and whose values cannot be (or are not) estimated from data. |
An ensemble of g members | A group of g number of learning algorithms. |
An acquisition model | A training model that depends on acquisition functions. |
EC number | Enzyme Commission number. |
Embedding | A low-dimensional latent continuous feature extracted from each node of a network. Read our paper for more details. |
Features | Individual independent variables that act as input in a system. While making predictions, models use these features. |
Heterogeneous information network | A multi-layer network where nodes within a layer manifest inter-interactions and nodes between layers manifest betweenness interactions. Read our paper for more details. |
NCBI | National Center for Biotechnology Information. |
PGDBs | Pathway/Genome Databases. |
Sub-sampling | A method used to reduce the data size by selecting a subset of the original data based on a specific acquisition function. |
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