Essays about: "top models"
Showing result 1 - 5 of 365 essays containing the words top models.
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1. Are Distributional Variables Useful for Forecasting With the Phillips Curve?
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : Does information on the distribution of wealth and income help us forecast aggregate macroeconomic variables? In this thesis, we study how adding such distributional variables to a standard forecasting model affects the forecast accuracy, in the context of inflation forecasting. Using the simulated inflation forecasting approach of Atkeson and Ohanian (2001), we perform a horse race between a textbook NAIRU Phillips curve to an extension augmented with variables from the wealth and income distributions. READ MORE
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2. Heritability of methane emission in Swedish Red cattle in northern Sweden
University essay from SLU/Dept. of Animal Breeding and GeneticsAbstract : Dairy cattle contribute a significant proportion of greenhouse gases (GHG), mainly methane (CH4), among other livestock species. Methane has a negative impact on climate; therefore, its reduction is a top priority for a sustainable dairy production system. READ MORE
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3. Predicting Navigational Patterns in Web Applications using Machine Learning Techniques
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : In large corporations, customer support is a costly service, and an area of constant optimization. Solutions to increase efficiency and decrease bottlenecks are constantly needed. READ MORE
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4. Evaluating and optimizing Transformer models for predicting chemical reactions
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : In this thesis, we assess the effectiveness of a transformer model specifically trained to predict chemical reactions. The model, named Chemformer, is a sequence-tosequence model that uses the transformer’s encoder and decoder stacks. READ MORE
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5. Approximating Reasoning with Transformer Language Models
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : We conduct experiments with BART, a generative language-model architecture, to investigate its capabilities for approximating reasoning by learning from data. For this we use the SimpleLogic dataset, a dataset of satisfiability problems in propositional logic originally created by Zhang et al. (2022). READ MORE
