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Often, that includes GPUs and FPGAs, for example, for machine learning workloads.
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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.
This corpus provides sufficient training examples for machine-learning methods.
I believe will lead to a whole new generation of innovation that may involve, for example, machine-to-machine Internet.
Quantum computing has been cited as a possible example for such machines, but this has been disputed (Hagar 2007).
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.
For example, outcomes of algorithms for machine translation from one language to another, information retrieval, weather prediction, etc. may be directly deployed for use in real life.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com