Your English writing platform
Discover LudwigExact(4)
By comparison 70% of the variants designed in the first cycle of machine learning were more active than wild type and all of the variants designed in the second cycle of machine learning were at least 3-fold more active than wild type.
We designed a further 14 variants in set 2 to more thoroughly explore the search space close to already tested variants and thus to provide sufficient data for a further cycle of machine learning.
To do this we created 1000 subsamples of the training set (the set of all (xi, yi) pairs used for a cycle of machine learning) by leaving out 5 randomly chosen variant sequences for each such subsample.
The first set of machine learning-based designs significantly outperformed those based on a manual "expert" analysis in set 1. Thirteen of the twenty variants in set 2 were more active than wild-type proteinase K, with 8 more active than the most active variant from set 1. Encouraged by this result we performed a second cycle of machine learning.
Similar(56)
However, training models is only a small part of the greater life-cycle of machine learning which spans training, model serving, performance evaluation, exploration, and eventually re-training.
By performing two cycles of machine learning analysis and variant design we obtained 20-fold improved proteinase K variants while only testing a total of 95 variant enzymes.
In addition to ruining your wool garment, running wool items through the wash cycle of your machine can also damage the machine as wool fuzz can detach and felt up forming hard clumps inside the pump.
Furrier: So far, Oracle hasn't been at the forefront of the news cycle on Machine Leaning and Blockchain, what's going on there?
In this study, around 3.6 units saved for one operating cycle of Ringframe machine in textile industry.
In particular the blanket of a fusion reactor shall transfer the heat load coming from the plasma to the cooling system and also provide tritium breeding for the fuel cycle of the machine.
The information required varies throughout the life cycle of the machine implementation, i.e. the emphasis changes from obtaining results of "what if?" scenarios at the requirements and design stages to obtaining the variation of sensor values and current status of the control logic at the monitoring and operational stages.
More suggestions(2)
Write better and faster with AI suggestions while staying true to your unique style.
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