Essays about: "Naïve model"

Showing result 21 - 25 of 176 essays containing the words Naïve model.

  1. 21. Shoppin’ in the Rain : An Evaluation of the Usefulness of Weather-Based Features for an ML Ranking Model in the Setting of Children’s Clothing Online Retailing

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Isac Lorentz; [2023]
    Keywords : Statistical analysis; regression analysis; recommender systems; ensemble learning; electronic commerce; LightGBM; learning to rank; feature selection; weather-based features; fashion; Statistisk analys; regressionsanalys; rekommendationssystem; ensemble-inlärning; näthandel; LightGBM; learning to rank; variabelselektion; väderbaserade variabler; mode;

    Abstract : Online shopping offers numerous benefits, but large product catalogs make it difficult for shoppers to understand the existence and characteristics of every item for sale. To simplify the decision-making process, online retailers use ranking models to recommend products relevant to each individual user. READ MORE

  3. 22. System Integration and Verification Verdict Automation using Machine Learning

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Anthony Kommareddy; [2023]
    Keywords : Error Detection; Machine Learning; Deep Learning; Log Files; Verdicts.;

    Abstract : Context: The volume of log files is massive as they contain vital information about the application’s behavior; they map out broad parts of the application, allowing us to understand how every component behaves, whether normally or abnormally. As a result, it is critical to examine the log files to see if the system is deviating from its usual path. READ MORE

  4. 23. A comparison of forecasting techniques: Predicting the S&P500

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Axel Neikter; Nils Sjöberg; [2023]
    Keywords : Forecasting; machine learning; random forest; arima;

    Abstract : Accurately predicting the S\&P 500 index means knowing where the US economy is heading. If there was a model that could predict the S\&P 500 with even some accuracy, this would be extremely valuable. Machine learning techniques such as neural network and Random forest have become more popular in forecasting. READ MORE

  5. 24. An Artificial Neural Network Approach to Algorithmic Trading

    University essay from Lunds universitet/Matematisk statistik

    Author : Timmie Bengtsson; [2023]
    Keywords : Financial Markets; Machine Learning; Long Short-Term Memory; Gated Recurrent Unit; Recurrent Neural Networks; Time Series Analysis; Algorithmic Trading; Mathematics and Statistics;

    Abstract : The field of machine learning has advanced significantly in recent decades, and, at the same time, computational power has improved to the point where training large machine learning models, such as artificial neural networks, is now accessible. Consequently, there has been a rise in the use of these models within the financial sector, with some firms leveraging them to assist with investment decisions. READ MORE

  6. 25. Black-Litterman Model for Portfolio Performance Enhancement - An Out-Of-Sample Evaluation of the Black-Litterman Model on a U.S. Stock-Dominated Portfolio

    University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Author : Christoffer Hellekant; Rasmus Olofsson; [2022-02-15]
    Keywords : ;

    Abstract : In this thesis, the Black-Litterman model is evaluated out-of-sample and compared to mean-variance and naïve allocation. Two references are implemented in the Black-Litterman framework, the minimum-variance and naive portfolios. The study complements previ-ous work by considering a stock-dominated portfolio, where all assets are from the U.S. READ MORE