Search for dissertations about: "high dimensional data"
Showing result 6 - 10 of 540 swedish dissertations containing the words high dimensional data.
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6. Big Data Analytics for Fault Detection and its Application in Maintenance
Abstract : Big Data analytics has attracted intense interest recently for its attempt to extract information, knowledge and wisdom from Big Data. In industry, with the development of sensor technology and Information & Communication Technologies (ICT), reams of high-dimensional, streaming, and nonlinear data are being collected and curated to support decision-making. READ MORE
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7. Factor-Augmented Forecasting for High-Dimensional Data
Abstract : In this thesis, we take a critical look at the factor-augmented forecast models, when a large number of time series variables available can provide the vital information for prediction. We discuss how to describe the commonality and idiosyncrasy of high-dimensional data by a handful of factors in various levels, and how to improve the predictive performance using these factors as augmented predictors. READ MORE
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8. Normalization and analysis of high-dimensional genomics data
Abstract : In the middle of the 1990’s the microarray technology was introduced. The technology allowed for genome wide analysis of gene expression in one experiment. Since its introduction similar high through-put methods have been developed in other fields of molecular biology. READ MORE
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9. Resampling in network modeling of high-dimensional genomic data
Abstract : Network modeling is an effective approach for the interpretation of high-dimensional data sets for which a sparse dependence structure can be assumed. Genomic data is a challenging and important example. In genomics, network modeling aids the discovery of biological mechanistic relationships and therapeutic targets. READ MORE
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10. Prediction Methods for High Dimensional Data with Censored Covariates
Abstract : While access to data steadily increases, not all data are straight-forward to use for prediction. Censored data are common in several industrial scenarios, and typically arise when there are some limitations to measuring equipment such as for instance concentration measuring equipment in chemistry or signal receivers in signal processing. READ MORE