Essays about: "Datatransformation"
Showing result 1 - 5 of 6 essays containing the word Datatransformation.
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1. CM model view transformations To support runtime forward/backward compatibility
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The task to implement a solution of handling updates and version discrepancies within a testbeds Configuration Management. The Ericsson 5G testbed is built to support deployment of higher layer functions in a cloud environment. READ MORE
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2. Machine learning based inventory optimization respecting supplier order line fees
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis addresses an inventory management problem of what, when and how many products should be ordered from the supplier applying order line fees. Order line fee is a fixed fee which the company pays to the supplier per every ordered product not depending on the ordered quantity. READ MORE
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3. Venn Prediction for Survival Analysis : Experimenting with Survival Data and Venn Predictors
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The goal of this work is to expand the knowledge on the field of Venn Prediction employed with Survival Data. Standard Venn Predictors have been used with Random Forests and binary classification tasks. However, they have not been utilised to predict events with Survival Data nor in combination with Random Survival Forests. READ MORE
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4. Knowledge Base Augmentation from Spreadsheet Data : Combining layout inference with multimodal candidate classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Spreadsheets compose a valuable and notably large dataset of documents within many enterprise organizations and on the Web. Although spreadsheets are intuitive to use and equipped with powerful functionalities, extraction and transformation of the data remain a cumbersome and mostly manual task. READ MORE
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5. DirCNN: Rotation Invariant Geometric Deep Learning
University essay from KTH/Matematisk statistikAbstract : Recently geometric deep learning introduced a new way for machine learning algorithms to tackle point cloud data in its raw form. Pioneers like PointNet and many architectures building on top of its success realize the importance of invariance to initial data transformations. These include shifting, scaling and rotating the point cloud in 3D space. READ MORE