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Such a model, which was first developed on data from several mixtures containing relatively large particles, i.e. millimetre and micrometre size particles, is believed to be acceptable for use with nanofluids.
One limitation of methods based on machine learning is that they are prone to over-optimization when developed on data sets as small as the Database of Protein Disorder (DisProt) or as specialized as missing coordinates from the Protein Data Bank (PDB).
Oncologists, surgeons and general practitioners Australia wide were surveyed using questionnaires developed on data obtained above.
Here we thoroughly compared two published high profile classifiers developed on data from different Affymetrix array platforms and fresh-frozen tissue, examining their transferability and concordance.
Two cystatin C-based equations (Hoek and Grubb) were chosen because they were developed on data from European study populations and therefore seemed suitable for our study population.
In conclusion, the bridged KPD model performed at least as well for warfarin maintenance dose prediction in children as algorithms developed on data from children.
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Further, interpreting AIC and BIC values is hard with large data sets, and they typically are more valuable when models are developed on small data sets.
The overall methodology has been developed on environmental data which are characteristic of the city of Gabes in Tunisia.
The biogeochemical model, initially developed on our data is therefore successfully applied to an independent dataset with natural sediments (Islam et al).
Models developed on this data basis should also apply to driver seats with a soft seat and backrest cushion, although the qualitative different contact conditions were neglected.
To analyze the performance of the proposed algorithm, we present the computational experiments developed on ten data sets with different levels of complexity.
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