Search for dissertations about: "Missing data"

Showing result 6 - 10 of 404 swedish dissertations containing the words Missing data.

2. 6. Methods for Analysis of Naturalistic Driving Data in Driver Behavior Research

   Author : Jonas Bärgman; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; safety benefit evaluation; crash causation; safety measures; automated driving; analysis; naturalistic driving data; driver behavior; counterfactual simulations;

   Abstract : In the last several years, the focus of traffic safety research—especially when performed in association with the automotive industry—has shifted from preventing injury during a crash to avoiding the crash altogether or mitigating its effects. Pre-crash safety measures include intelligent safety systems (e.g. READ MORE

4. 7. Predictive Techniques and Methods for Decision Support in Situations with Poor Data Quality

   Author : Rikard König; Högskolan i Skövde; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Rule Extraction; Genetic Programming; Uncertainty estimation; Machine Learning; Artificial Neural Networks; Data Mining; Information Fusion; Information technology; Informationsteknik; Teknik; Technology;

   Abstract : Today, decision support systems based on predictive modeling are becoming more common, since organizations often collect more data than decision makers can handle manually. Predictive models are used to find potentially valuable patterns in the data, or to predict the outcome of some event. READ MORE

5. 8. 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

6. 9. Prostate cancer incidence, treatment and mortality : Empirical longitudinal register-based studies and methods for handling missing data

   Author : Marcus Westerberg; Rolf Larsson; Hans Garmo; Pär Stattin; Jimmy Olsson; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; statistics; mathematics; prostate cancer; missing data; survival analysis; longitudinal models; incidence; treatment; mortality; Mathematical Statistics; Matematisk statistik; Statistics; Statistik; Urologi; Urology; Epidemiologi; Epidemiology;

   Abstract : The diagnostic activity for prostate cancer has increased substantially in Sweden, primarily due to increased use of prostate-specific antigen (PSA) testing in asymptomatic men, and this has led to a large increase in diagnoses. There have also been changes in the diagnostic workup, guidelines, treatment strategies, and more effective treatments have been introduced in different phases of the disease. READ MORE

7. 10. Representation learning for natural language

   Author : Olof Mogren; RISE; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; artificial neural networks; artificial intelligence; natural language processing; deep learning; machine learning; summarization; representation learning;

   Abstract : Artificial neural networks have obtained astonishing results in a diverse number of tasks. One of the reasons for the success is their ability to learn the whole task at once (endto-end learning), including the representations for data. READ MORE