Sökning: "statistical techniques"

Visar resultat 6 - 10 av 443 avhandlingar innehållade orden statistical techniques.

1. 6. Statistical Calibration Algorithms for Lidars

   Författare :Anas Alhashimi; Steffi Knorn; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Reglerteknik; Control Engineering;

   Sammanfattning : Robots are becoming increasingly available and capable, are becoming part of everyday life in applications: robots that guide blind or mentally handicapped people, robots that clean large office buildings and department stores, robots that assist people in shopping, recreational activities, etc.Localization, in the sense of understanding accurately one's position in the environment, is a basic building block for performing important tasks. LÄS MER

3. 7. Statistical Methods for Computational Markets : Proportional Share Market Prediction and Admission Control

   Författare :Thomas Sandholm; Magnus Boman; Mark Baker; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Distributed Systems; Grid Computing; Performance Analysis; Workload Modeling; Middleware; Quality of Service; Prediction; Admission Control; Computer and systems science; Data- och systemvetenskap;

   Sammanfattning : We design, implement and evaluate statistical methods for managing uncertainty when consuming and provisioning resources in a federated computational market. To enable efficient allocation of resources in this environment, providers need to know consumers' risk preferences, and the expected future demand. LÄS MER

4. 8. The value of simplicity : image browsing techniques and tests

   Författare :Anna Hedman; Karl W. Sandberg; Luleå tekniska universitet; []
   Nyckelord :;

   Sammanfattning : Image browsing is involved in many different types of tasks, such as interacting with a desktop and file system, viewing digital photo albums, etc. Different techniques are available for different types of tasks, but results from image browsing tests have been varied. LÄS MER

5. 9. Regularised Weights in Statistical Models

   Författare :Olof Zetterqvist; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Lasso; Robust Statistics; Deep Learning; Weighted loss.; Noisy Labels; Neural Networks; Regularisation;

   Sammanfattning : For flexible and overparameterised models like neural networks, overfitting can be a notorious problem that makes it hard to give accurate predictions in real-life usage. Overfitting is in particular likely in the presence of errors in the training data, such as misclassifications or outliers. LÄS MER

7. 10. Computational methods for analysis of spatial transcriptomics data : An exploration of the spatial gene expression landscape

   Författare :Alma Andersson; Joakim Lundeberg; Omer Bayraktar; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; spatial transcriptomics; machine learning; data analysis; RNA-seq; probabilistic; statistical; models; Biotechnology; Bioteknologi;

   Sammanfattning : Transcriptomics techniques, whether in the form of bulk, single cell/nuclei, or spatial methods have fueled a substantial expansion of our knowledge about the biological systems within and around us. In addition, the rate of innovation has accelerated over the last decade, resulting in a multitude of technological advances and new methods for generation of transcriptomics data. LÄS MER