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In the context of this problem, a question to explore is what volume of input data is generally necessary to train useful (good) data representations by Deep Learning algorithms which can then be generalized for new data in the specific Big Data application domain.
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To guarantee that the experimental results are valid and can be generalized for making predictions regarding new data, we adopted the fivefold cross-validation in this study.
To guarantee that the experimental results are valid and can be generalized for making predictions regarding new data, the fivefold cross-validation is utilized to evaluate the performance of the proposed method.
These observations cannot be generalized for all strains but give new insights in the study of caspofungin resistance.
Our work provides a new framework for linking transcriptional responses to drug MOA in P. falciparum and can be generalized for the same purpose in other organisms.
These can be generalized for software development into three categories: building blocks, instructions and tools.
This can not be generalized for other clades.
This study would not also be generalized for population level.
In this paper, the notation of S C C, S K C, K S C, and C S C conditions are generalized for multi-valued mappings and some new fixed point theorems are obtained in Ptolemy metric spaces.
The algorithm is generalized for multiclass implementation.
The latter are static; hence cannot be generalized as new coefficients need to be re-generated for new cases.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com