Essays about: "Outlying"
Showing result 1 - 5 of 19 essays containing the word Outlying.
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1. Exploring the Impact of Genre on Syntactic and Lexical Complexity in L2 Written English
University essay from Högskolan i Gävle/Avdelningen för humanioraAbstract : The present study investigates the effect of genre on lexical and syntactic complexity. The corpus used for this study is made up of argumentative and narrative texts from the TRAWL (Tracking Written Learner Language) online corpus. The study analyses texts written by 22 Norwegian EFL learners, 10 in year 8 and 12 in year 9. READ MORE
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2. The efficiency of Hyndman-Ullah methods in case of populations with abnormal short-term increases of mortality rates due to wars and pandemics.
University essay from Mälardalens universitet/Akademin för utbildning, kultur och kommunikationAbstract : This report is written with the goal of analyzing the efficiency of the Hyndman-Ullah (HU) and weighted Hyndman-Ullah (wHU) methods when working with the populations that suffered higher mortalities due to the wars and pandemics. Accordingly, the HU and wHU methods are applied to the training sets containing outlying years. READ MORE
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3. Comparing Text Similarity Functions For Outlier Detection : In a Dataset with Small Collections of Titles
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Detecting when a title is put in an incorrect data category can be of interest for commercial digital services, such as streaming platforms, since they group movies by genre. Another example of a beneficiary is price comparison services, which categorises offers by their respective product. READ MORE
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4. Development of artificial neural networks for the prediction of outlying and influential individuals from pharmacokinetic and pharmacodynamic models
University essay from Uppsala universitet/Institutionen för farmaciAbstract : Nonlinear Mixed effect models are often used to describe population pharmacokinetics (PK) and Pharmacodynamics (PD) and play an important part of drug development both from regulatory and industry point of view. However, they can be time consuming and computationally expensive to develop. READ MORE
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5. Detecting Slag Formation with Deep Learning Methods : An experimental study of different deep learning image segmentation models
University essay from Linköpings universitet/DatorseendeAbstract : Image segmentation through neural networks and deep learning have, in the recent decade, become a successful tool for automated decision-making. For Luossavaara-Kiirunavaara Aktiebolag (LKAB), this means identifying the amount of slag inside a furnace through computer vision. READ MORE