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Visar resultat 1 - 5 av 6 uppsatser som matchar ovanstående sökkriterier.

1. 1. Double Machine Learning for Insurance Price Optimization

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Jakob Kristiansson; [2023]
   Nyckelord :DML; Double Machine Learning; Price Optimization; Insurance Pricing; DML; Dubbel Maskininlärning; Prisoptimering; Försäkringsprissättning;

   Sammanfattning : This thesis examines how recent advances in debaised machine learning can be used for estimating price elasticities of demand within the automotive insurance field. Traditional methods such as generalized linear model (GLM) to estimate demand has no way of ensuring there are no biases in the underlying data selection, especially when the confounding variables are many. LÄS MER

3. 2. EVALUATING THE EXTENT OF ETHNIC BIASES IN FINBERT AND EXPLORING DEBIASING TECHNIQUES

   Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

   Författare :Minerva Suvanto; [2022-10-07]
   Nyckelord :language model; BERT; FinBERT; bias; debias;

   Sammanfattning : Language models are becoming increasingly popular. These models can contain social biases about various groups of people in them. The reproduction of biased beliefs can have harmful impacts on the groups they are about. We explore the extent of ethnic biases in the Finnish language model FinBERT. LÄS MER

4. 3. En undersökning av debias påverkan på allvarlighetsbedömningar av fysiskt och psykiskt våld.

   Kandidat-uppsats, Lunds universitet/Institutionen för psykologi

   Författare :Markus Berglund; Maria Blom; [2022]
   Nyckelord :Intimate partner violence; Debias; Gender; Calibration bias; Precision bias; våld i nära relationer; könsskillnader; kalibreringsbias; precisionsbias; Social Sciences;

   Sammanfattning : This study reflects on the concept of debias, a technique developed to reduce biased interpretations, and its effectiveness with regard to severity assessments concerning intimate partner violence. Specifically, the method aims to estimate the effects of debiasing on different forms of communication bias. LÄS MER

5. 4. Using machine learning to identify the occurrence of changing air masses

   Kandidat-uppsats, Uppsala universitet/Institutionen för teknikvetenskaper

   Författare :Anund Bergfors; [2018]
   Nyckelord :machine learning; meteorology; data science; visualization; time series; pattern recognition; logistic regression; data mining; statistics; ai; physics; signal processing; control theory; automatic control; systems theory; information technology; maskininlärning; meteorologi; data science; visualisering; tidsserie; mönsterigenkänning; logistisk regression; datautvinning; statistik; ai; fysik; signalbehandling; reglerteknik; systemteknik; informationsteknologi;

   Sammanfattning : In the forecast data post-processing at the Swedish Meteorological and Hydrological Institute (SMHI) a regular Kalman filter is used to debias the two meter air temperature forecast of the physical models by controlling towards air temperature observations. The Kalman filter however diverges when encountering greater nonlinearities in shifting weather patterns, and can only be manually reset when a new air mass has stabilized itself within its operating region. LÄS MER

7. 5. Debiasing for everyone: Testing an educational intervention to reduce causal illusions in rural Kenya

   Kandidat-uppsats, Lunds universitet/Institutionen för psykologi

   Författare :Linnea Cederlund; Henrik Josander; [2017]
   Nyckelord :illusion of causality; bias; debias; intervention; contingency judgment task; basic scientific thinking; Kenya; Social Sciences;

   Sammanfattning : It has been argued that cognitive biases are the source of a range of problems in modern society, from stereotype formation to belief in pseudoscience. One of those biases causes people to perceive causal relationships between unrelated events and is known as illusion of causality. LÄS MER