Sökning: "forecasting accuracy"
Visar resultat 16 - 20 av 282 uppsatser innehållade orden forecasting accuracy.
16. Understanding Sales Performance Using Natural Language Processing - An experimental study evaluating rule-based algorithms in a B2B setting
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Natural Language Processing (NLP) is a branch in data science that marries artificial intelligence with linguistics. Essentially, it tries to program computers to understand human language, both spoken and written. Over the past decade, researchers have applied novel algorithms to gain a better understanding of human sentiment. LÄS MER
17. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models
Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Time series are points of data measured throughout time in equally spaced periods. They present characteristics such as level, noise, trend, seasonality, and outliers. Time series forecasting is the attempt to predict single or multiple future values. LÄS MER
18. Condition Monitoring Of Machine Components From Drive Data Using Semi-Supervised Anomaly Detection Methods
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : The mission of the machine manufacturer is to gain insights from machine data to increase their machines' efficiency and sustainability. Continuously monitoring the machine data with machine learning helps to detect emerging mechanical problems and prevents unexpected failures. LÄS MER
19. Are expert judgments a reliable tool for predicting farmer and food consumer decisions? : experimental evidence from a forecasting survey
Master-uppsats, SLU/Dept. of EconomicsSammanfattning : Often trusted to provide sound recommendations and advice, experts from academia and industry are often relied upon throughout industries around the globe, and the food and agriculture industry is no different. We therefore ask, how accurate are these experts, and are they able to accurately forecast behavior from varying food chain actors such as farmers and consumers? Do these experts have a preconceived bias to one side or the other? These questions become increasingly important when considering policy developments such as the EU Farm to Fork strategy, which seek to integrate the consumer-facing food industry and the producer-forward agriculture industry, two policy realms that have historically remained relatively independent of one another. LÄS MER
20. Credit Index Forecasting: Stability of an Autoregressive Model
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : This thesis investigates the robustness and stability of total return series for credit bond index investments. Dueto the challenges which arise for financial institutes and investors in achieving these objectives, we aim to createa forecasting model which matches the statistical properties of historical data, while remaining robust, stable andeasy to calibrate. LÄS MER