Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
Machine learning –whether it is model based machine learning or deep learning – has the potential to train a model that will then be able to predict specific elements based on new input.
Similar(59)
Additionally, four types of binary fingerprints were used to develop classification models using SVM based machine learning approach.
In order to effectively analyze tens of thousands of new, potentially malicious PDF files on a daily basis, anti-virus vendors have integrated a component of a detection model based on machine learning (ML) and rule-based algorithms [3] into the core of their signature repository update activities.
This research depicts an analysis of electricity requirement forecasting by supervised based machine learning models with the limited data information.
Four-supervised based machine learning models employed for energy forecasting which are: i) Binary Decision Tree; ii) Compact Regression Gaussian Process; iii) Stepwise Gaussian Processes Regression; iv) Generalized Linear Regression Model.
Other approaches include computer vision based machine learning models to extract only the most relevant information from UAS imagery (e.g., classifying and extracting fresh lava), reducing bandwidth requirements and transferring only the most critical data during flight.
Support Vector Machine (SVM) based machine learning models were therefore trained with different features and/or their combination, and comparison was performed on their classification power.
The potential of developing data fusion based machine learning models which utilizes biomarkers from breathomics (metabolomics study of exhaled air) as a diagnostic tool is demonstrated in [ 121].
This article describes a mass balance production line model based on constant machine rates, fixed finite buffer size and stochastic failure and repair behavior.
FEM machining simulations was carried out using a Lagrangian finite element based machining model to predict the tangential cutting force, temperature distribution at tool tip and the effective stress and strain.
In this paper, we propose a new shape model based on Deep Boltzmann Machine (DBM) which we call Multi-Scale Shape Boltzmann Machine (MSSBM).
Write better and faster with AI suggestions while staying true to your unique style.
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