The phrase "amalgamated using" is correct and usable in written English.
It can be used when describing the process of combining or merging different elements or components together.
Example: "The data from various sources was amalgamated using advanced algorithms to create a comprehensive report."
Alternatives: "combined with" or "merged through".
Such a Random Forest of regression trees can then be used to predict unseen numerical test data, with the predictions from the different trees being amalgamated by using their mean to generate the overall prediction of the forest.
Data segments from each interview and focus group were then transferred to another Word 2007 document where they were amalgamated by theme using the tabular function.
Kertesz (1967) and Weber (1967) described families with this condition termed paroxysmal kinesigenic choreo-athetosis and familial paroxysmal dystonia, and Demirkiran and Jankovic (1995) amalgamated the many terms used, suggesting three subtypes, comprising paroxysmal kinesigenic (PKD or PKC), non-kinesigenic (PNKD), and exercise-induced dyskinesia (PED) (Bruno et al., 2004, 2007; Bhatia, 2011).
Then they amalgamated those studies' results and, using sophisticated statistical calculations, determined just how much stretching impeded subsequent performance.
As he does when he writes, in conversation he uses a vividly amalgamated vocabulary, part formal English, part street vernacular.
We amalgamate autoencoder and predictor architectures using an adaptive weighting scheme coping with a reduced size labeled dataset, while enriching our models from enormous unlabeled sets.
For comparison, the same procedures were used to generate amalgamated databases for human (build 36), mouse (build 36) and dog (build 2).
Here we present the TERA algorithm (Tree Estimation using Reconciliation and Amalgamation) that amalgamates the most parsimonious reconciled gene tree from a set of gene trees reconstructed from a unique gene alignment, according to a joint sequence-reconciliation score.
In the next phase of the EPHect initiative, WERF aims to amalgamate a voluntary registry of centers using EPHect data collection tools and biological sample SOPs that would offer any investigator a transparent platform for establishing new collaborations.
