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To overcome the difficulties of a 'direct' greedy algorithm for multiple alignment, we combined greedy features with a 'progressive' alignment approach [ 17- 20].
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On this basis, we develop a forward greedy feature selection algorithm for selecting a feature subset of minimized cost that preserves the same information as the whole feature set.
Finally, we define the dependency between fuzzy decision and condition attributes and employ the dependency to evaluate the significance of a candidate feature, using which a greedy feature subset selection algorithm is designed.
Thoma et al. propose CORK which can yield a near-optimal solution using greedy feature selection [36].
We performed the greedy feature selection and applied LDA to the selected gene expression ratios.
EASE-AA2 employed a single support vector machine (SVM) model with predictive features selected using a greedy feature selection algorithm.
In case of the 11 candidates 7 genes of the greedy feature selection procedure coincide and in case of the top 6 validated candidates 5 genes overlapped, only Acsl4 is missing.
This hybrid auto-encode (HAE) model combines the greedy learning features of DBM with the dimensionality reduction capacity of AE to accurately and reliably detect the presence of obstacles.
"THE TOOTHACHE OF KING FARFAN," a children's operetta from Latin America about a selfish and greedy king, featuring 20 life-size puppets by Jose Lopez.
For comparison, we present two fast greedy heuristic feature selection algorithms specifically tailored for the task of linear regression.
Also, greedy sequential feature selection techniques are often 'unstable', giving results that may be highly dependent upon the particular training data used.
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CEO of Professional Science Editing for Scientists @ prosciediting.com