Sentence examples for examples for machine from inspiring English sources
For this task the generation of examples for machine learning was not straightforward.
These observations convinced us that adapting the techniques used by the rule-based systems to our documents, and using enriched feature sets and training examples for machine learning-based approaches, could lead to satisfactory de-identification of VHA clinical documents.
Once a researcher has indicated which documents are in fact relevant, the relevant, and non-relevant documents can be used as positive and negative examples for machine learning algorithms to predict the relevance of additional documents.
Often, that includes GPUs and FPGAs, for example, for machine learning workloads.
The resulting set of sequences was used as positive examples for training machine learning models as previously published (Lingner et al., 2011).
The system is based on the distant supervision paradigm, i.e., using a database, in this case of drugs and their indications and side-effects, to label examples for supervised machine learning.
Examples for such machines are button-hole, bar-tack and pocket sewer machines.
These entries therefore cannot be used as positive examples for the machine-learning.
Although only one random entry (seen entry) was selected for a negative case, we can however use all other entries as additional negative examples for the machine-learning because none of them contained any convincing positive evidence.
The small number of training examples is not trivial for machine learning and, in particular, is harder to handle in a sparse data type such as text documents.
