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The goodness of the data representation has a large impact on the performance of machine learners on the data: a poor data representation is likely to reduce the performance of even an advanced, complex machine learner, while a good data representation can lead to high performance for a relatively simpler machine learner.
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The poor results from the confirmatory bioassay experiments have led to a question of molecular structure data representation and this is an area for future work.
This includes samples that generate poor data.
It's just a data representation problem.
This data model enhances interoperability by requiring apps to operate on a common data representation.
Common types of data representation are illustrated.
Poor funding leads to poor data collection, and worsening conditions increase temptation to cook numbers.
Poor data quality.
We are poor explorers and poor data gatherers.
The quality data representation is divided into measured data representation, non-measured data representation, and summarized data representation.
Coverage for older children includes algorithms, data representation and binary.
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