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We have utilized both machine learning and big data technologies to extract actionable insights from our massive datasets.
There, Marine developed strong interests for both machine learning and biology, and obtained her master's degree in 2014.
Recently, feature learning from unlabeled data for improving the performance of a given vision task has received increasing attention in both machine learning and computer vision.
By the proposed method, we take the strengths of both machine learning and the variational level set method while limiting their weaknesses to achieve automatic and fast clinical segmentation.
The changes in both machine learning and AI will be profound.
Therefore, MACCS fingerprint performed better and consistent with both machine learning and similarity-based approaches.
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The Phys Chem ANN approach has adopted an iterative and feedback procedure, incorporating both machine-learning and artificial intelligence capabilities.
Thus, our approach can benefit from both machine-learning and rule-based approaches.
For instance, the query serves as input to both the machine learning and the information retrieval components.
Both the machine learning and SP techniques have the unique and complementary strengths for big data processing.
This paper surveys the software engineering literature on software fault prediction and both machine learning based and statistical based approaches are included in this survey.
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