Search for dissertations about: "missing values"

Showing result 1 - 5 of 78 swedish dissertations containing the words missing values.

  1. 1. Interpretable machine learning models for predicting with missing values

    Author : Lena Stempfle; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; missing values; Machine learning; healthcare; interpretable machine learning;

    Abstract : Machine learning models are often used in situations where model inputs are missing either during training or at the time of prediction. If missing values are not handled appropriately, they can lead to increased bias or to models that are not applicable in practice without imputing the values of the unobserved variables. READ MORE

  2. 2. Statistical modeling in international large-scale assessments

    Author : Inga Laukaityte; Marie Wiberg; Kenny Bränberg; Ewa Rolfsman; Bernard Veldkamp; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; multilevel model; plausible values; sampling weights; missing information; multiple imputation; non-monotone missing pattern; TIMSS; PISA; Statistics; statistik; pedagogik; Education;

    Abstract : This thesis contributes to the area of research based on large-scale educational assessments, focusing on the application of multilevel models. The role of sampling weights, plausible values (response variable imputed multiple times) and imputation methods are demonstrated by simulations and applications to TIMSS (Trends in International Mathematics and Science Study) and PISA (Programme for International Student Assessment) data. READ MORE

  3. 3. Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs)

    Author : Aman Mohammad Kalteh; Avdelningen för Teknisk vattenresurslära; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Hydrogeology; geographical and geological engineering; Hydrogeologi; teknisk geologi; teknisk geografi; Self-organizing map; Feed-forward multilayer perceptron; Forecasting; Hydrological modelling; Missing values; Rainfall-runoff modelling; Estimation; Artificial neural networks;

    Abstract : Over the last decades or so, artificial neural networks (ANNs) have become one of the most promising tools for modelling hydrological processes such as rainfall-runoff processes. In most studies, ANNs have been demonstrated to show superior result compared to the traditional modelling approaches. READ MORE

  4. 4. Classification and Computational Methods in Gene Expression Data Analysis

    Author : Cecilia Ritz; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Bioinformatik; medicinsk informatik; Bioinformatics; medical informatics; biomathematics biometrics; missing values; leukemia; cDNA microarray data; supervised classification; breast cancer; prognostic markers; biomatematik;

    Abstract : The technology of cDNA microarrays has given us the possibility to monitor the state of cells by measuring the activity of thousands of genes simultaneously. This high-throughput techniqe has in cancer research allowed exploratory studies of molecular mechanisms behind for example metastasis and response to therapy. READ MORE

  5. 5. A landscape of values - a study of non-epistemic values in Swedish upper secondary science education

    Author : Ola Nordqvist; Göteborgs universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; science education; values in education; secondary school biology;

    Abstract : This thesis sets out to investigate the role of non-epistemic values in science education from three actors’ perspectives – the science student, the science teacher, and the science teacher educator. More specifically, the focus is on exploring the variation of values among these three key actors in science education, and what characterizes these values. READ MORE