Essays about: "random error"

Showing result 1 - 5 of 216 essays containing the words random error.

  1. 1. ML implementation for analyzing and estimating product prices

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Abel Getachew Kenea; Gabriel Fagerslett; [2024]
    Keywords : Machine Learning; ML; Regression; Deep Learning; Artificial Neural Network; ANN; TensorFlow; ScikitLearn; CUDA; cuDNN; Estimation; Prediction; AI; Artificial Intelligence; Price Tracking; Price Logging; Price Estimation; Supervised Learning; Random Forest; Decision Trees; Batch Learning; Hyperparameter Tuning; Linear Regression; Multiple Linear Regression; Maskininlärning; Djup lärning; Artificiellt Neuralt Nätverk; Regression; TensorFlow; SciktLearn; ML; ANN; Estimation; Uppskattning; CUDA; cuDNN; AI; Artificiell Intelligens; pris loggning; pris estimation; prisspårning; Batchinlärning; Hyperparameterjustering; Linjär Regression; Multipel Linjär Regression; Supervised Learning; Random Forest; Decision Trees;

    Abstract : Efficient price management is crucial for companies with many different products to keep track of, leading to the common practice of price logging. Today, these prices are often adjusted manually, but setting prices manually can be labor-intensive and prone to human error. READ MORE

  3. 2. Lateral Control of Heavy Vehicles

    University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesign

    Author : Aravind Jawahar; Lokesh Palla; [2023]
    Keywords : Path Tracking; Collision Avoidance; Pure Pursuit; Stanley; Linear Quadratic Regulator; Sliding Mode Control; Model Predictive Control; Path Tracking; Collision Avoiding; Pure Pursuit; Stanley; Linear Quadratic Regulator; Sliding Mode Control; Model Predictive Control;

    Abstract : The automotive industry has been involved in making vehicles autonomous to different levels in the past decade rapidly. Particularly in the commercial vehicle market, there is a significant necessity to make trucks have a certain level of automation to help reduce dependence on human efforts to drive. READ MORE

  4. 3. Does the Level of Swedish Economic Policy Uncertainty Help Forecast Excess Returns on the Swedish Stock Market?

    University essay from Uppsala universitet/Företagsekonomiska institutionen

    Author : Gustav Jacobsson; Oscar Klersell; [2023]
    Keywords : Economic Policy Uncertainty EPU ; Excess stock returns; Out-of-sample forecasting; Random walk; Sweden;

    Abstract : This thesis examines whether the level of Swedish economic policy uncertainty (EPU) can predict excess returns on the Swedish stock market. We run out-of-sample forecasting using an EPU-based predictive model constructed with the official Swedish EPU index developed by Armelius et al. (2017). READ MORE

  5. 4. Parentage Assignment using genetic markers in the common carp (Cyprinus carpio)

    University essay from SLU/Dept. of Animal Breeding and Genetics

    Author : Sven Kristian Feddersen; [2023]
    Keywords : single nucleotide polymorphism; Parentage Assignment; aquaculture; genetic markers;

    Abstract : This study investigated the effect of varying single nucleotide polymorphisms (SNPs) marker density, error threshold selection, and different SNP selection strategies on parentage assignment accuracy in carp populations. Using a marker set of 15,615 SNPs, we found a positive correlation between the quantity of SNP markers and the accuracy of parentage assignments, consistent with existing literature. READ MORE

  6. 5. On modelling OMXS30 stocks - comparison between ARMA models and neural networks

    University essay from Uppsala universitet/Matematiska institutionen

    Author : Irina Zarankina; [2023]
    Keywords : ARMA; ARIMA; LSTM; time series; statistics;

    Abstract : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. READ MORE