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Visar resultat 1 - 5 av 19044 uppsatser som matchar ovanstående sökkriterier.
1. What’s the Point of State-of-Nature Models?
Kandidat-uppsats, Göteborgs universitet/Institutionen för filosofi, lingvistik och vetenskapsteoriSammanfattning : Practical explanations are tools which aim to clarify the evolution and function of our conceptual practices. There is current discussion about how we ought to construct and interpret practical explanations, and more specifically if state-of-nature models are useful when doing this. LÄS MER
2. Feature Selection for Microarray Data via Stochastic Approximation
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its effectiveness in enhancing the performance of various machine learning algorithms. LÄS MER
3. ”INGEN VILL JU HA EN SHORT GUY”. En kvalitativ intervjustudie om hur unga män uppfattar och upplever sig påverkas av utseendenormer på Instagram
Kandidat-uppsats, Göteborgs universitet/Institutionen för journalistik, medier och kommunikationSammanfattning : Throughout history, beauty ideals have existed as a societal construct, but the recent phenomenon lies in the rapid and widespread dissemination of these ideals through social media. Platforms like Instagram encourage user interaction, fostering a specific type of content. LÄS MER
4. Förändringsvindar: En fallstudie av hur EU:s utsläppshandelssystem formar investeringar hos svenska rederier
Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionenSammanfattning : On January 1st 2024 the maritime industry was introduced to the European Union Emission Trading System (EU ETS). The maritime and its shipping companies are now facing a significant change in the way of operating as there is now a price on something that previously was free of charge. LÄS MER
5. Does industry survey data improve GDP forecasting?
Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionenSammanfattning : This study assesses the integration of industry survey data into Bayesian Vector Auto Regressive (BVAR) models for GDP forecasting in Sweden. Analyzing a combination of macro economic indicators, CPI and unemployment rates, with survey data from NIER, it explores the effects of different variable combinations on the forecasting ability of different models. LÄS MER