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These are first impressions, mind you, based on a supervised hour of playing in a Microsoft hotel room.
The system is based on a supervised machine learning algorithm leveraging more than a thousand features extracted from public data and metadata about Twitter accounts.
All our work is based on a supervised learning task, thus a set of training data labelled by humans must be provided.
The hybrid method transforms the original problem to an integer linear programing problem based on a supervised learning technique and a tractable nonlinear problem.
This article presents a novel approach for the prediction of maneuvers that copes with noisy measurements and is based on a supervised version of a dynamic FasArt method (SdFasArt).
A robust method based on a supervised Feed-Forward Back-Propagation Artificial Neural Network (ANN-BP) algorithm is applied to retrieve the concentration of chlorophyll-a from hyperspectral image.
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A neural network architecture is used to automatically deduce fuzzy if-then rules based on a hybrid supervised learning scheme.
This paper presents an in-field automatic wheat disease diagnosis system based on a weakly supervised deep learning framework, i.e. deep multiple instance learning, which achieves an integration of identification for wheat diseases and localization for disease areas with only image-level annotation for training images in wild conditions.
The impossibility to obtain a robust hypoxia signature by the previously described approaches prompted us to consider different algorithms based on a robust supervised variable selection technique, capable of detecting the hypoxia-induced transcriptome even in the presence of the disturbance of a strong competing signal.
The impossibility to obtain a hypoxia signature by unsupervised approaches prompted us to consider different algorithms based on a robust supervised variable selection technique, capable of detecting the hypoxia-induced transcriptome even in the presence of the disturbance of a strong competing signal.
Based on a semi-supervised metric learning, a step-wise algorithm for boosting the retrieval performance of CBIR systems by incorporating relevance feedback information is proposed in [26].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com