Essays about: "combination of predictions"
Showing result 1 - 5 of 111 essays containing the words combination of predictions.
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1. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
University essay from Lunds universitet/Fysiska institutionenAbstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE
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2. The Power of Credit Scoring: Evaluating Machine Learning and Traditional Models in Swedish Retail Banking
University essay from Göteborgs universitet/Graduate SchoolAbstract : In this paper, we investigate and compare different credit scoring models, with special attention paid to machine learning approaches outperforming traditional models. We explore a recently proposed method called the PLTR model, which is a combination of machine learning and traditional logistic regression. READ MORE
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3. Risk of Debris Flows in Åre : Literature Review of the Current Risk for Debris Flows in Åre Municipality and Predictions for the Future
University essay from KTH/Hållbar utveckling, miljövetenskap och teknikAbstract : Several debris flows have affected Åre municipality (Sw. Åre kommun) in the last 20 years. Jämtlandis a declared risk area for landslides and debris flows and there is an even higher probability oflandslides causing great damage around the Åre urban area. READ MORE
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4. Modelling the Water Table in a Bog
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Over the past five years, an ongoing study at INES, Lund University, have examined the encroachment of trees and vegetation into a bog ecosystem in northern Scania, Sweden. While several factors have been identified as contributing to this ecological transformation, including, nutrient availability, and climate, the hydrological aspect remains a key area of investigation. READ MORE
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5. Assessing Electricity Prices and Their Driving Mechanisms in Brazil with Neural Networks
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : In general, electricity prices are very volatile and derive from many external variables. In Brazil, this price is determined by computer models developed and operated by government organizations. The supply and demand relationships are not enough to determine prices in Brazilian submarkets. READ MORE
