منابع مشابه
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
Applying machine learning to a problem which involves medical, financial, or other types of sensitive data, not only requires accurate predictions but also careful attention to maintaining data privacy and security. Legal and ethical requirements may prevent the use of cloud-based machine learning solutions for such tasks. In this work, we will present a method to convert learned neural network...
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OBJECTIVES Generalizable, high-throughput phenotyping methods based on supervised machine learning (ML) algorithms could significantly accelerate the use of electronic health records data for clinical and translational research. However, they often require large numbers of annotated samples, which are costly and time-consuming to review. We investigated the use of active learning (AL) in ML-bas...
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This work reflects the worth of intelligent modeling in controlling the nanostructure morphology in manufacturing organic bulk heterojunction (BHJ) solar cells. It suggests the idea of screening the pool of material design possibilities inspired by machine learning. To fulfill this goal, a set of experimental data on a BHJ solar cell with a donor structure of diketopyrrolopyrrole (DDP) and ...
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Adenosine kinase (ADK, EC 2.7.1.20) is a purine salvage enzyme, which phosphorylates adenosine (Ado) to AMP. It may also contribute to the interconversion of cytokinin ribosides and nucleotides. Recent microarray analyses have provided new insights into the impact of ADK activity towards plant metabolism and development. The majority of these findings reflect ADK's role in the metabolism of Ado...
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ژورنال
عنوان ژورنال: Science-Business eXchange
سال: 2013
ISSN: 1945-3477
DOI: 10.1038/scibx.2013.253