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He did not say which models would use the engines.
However, costing would be equally feasible in both methods: DES models would use variables associated to each event experienced, while Markov models would associate a monetary value to health states.
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The Tegra model would use designs from ARM, which tend to have longer battery life.
Alexander said it was not clear what generation of processors the low-cost model would use.
A cheaper model would use bulky microbial enzymes called hydrogenases that make H2 using proteins based on nickel and iron.
Rather, it seems that the optimal topographic model would use some combination of both slope and elevation to identify barriers.
A BFA model would use this same factor loading pattern, but would include a general factor loading on all indicators, and factor correlations would be constrained to zero.
A more realistic model would use success in a subsequent action with the object such as throwing or placing as the grasp reinforcement criterion.
This model would use change in best corrected visual acuity (BCVA), measured in letters and categorised into multiples of 10, at 1 month as its primary outcome.
The model would use a tree based on a concatenated ribosomal dataset as a "scaffold" over which could be laid frequently observed conflicting signals à la Thermotogae, Aquificae, Thermoplasmatales, etc.
What Google is essentially doing here is training a model with correct sentences and then using the same kind of models it would use for translating sentences from English to French to translate incorrect sentences into correct ones.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com