Essays about: "re-sampling methods"
Showing result 1 - 5 of 6 essays containing the words re-sampling methods.
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1. The effect of autocorrelation when performing theapproximated permutation test
University essay from Uppsala universitet/Statistiska institutionenAbstract : In meteorology, permutation tests are a commonly recommended tool because standard paramet-ric methods of inference often is insufficient when analysing weather. Therefore other methodswith less stringent assumptions like permutation testing is used. READ MORE
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2. Classification in Functional Data Analysis : Applications on Motion Data
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Anterior cruciate knee ligament injuries are common and well known, especially amongst athletes.These injuries often require surgeries and long rehabilitation programs, and can lead to functionloss and re-injuries (Marshall et al., 1977). READ MORE
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3. Data Augmentation in Solving Data Imbalance Problems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This project mainly focuses on the various methods of solving data imbalance problems in the Natural Language Processing (NLP) field. Unbalanced text data is a common problem in many tasks especially the classification task, which leads to the model not being able to predict the minority class well. READ MORE
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4. Statistical learning procedures for analysis of residential property price indexes
University essay from KTH/Matematisk statistikAbstract : Residential Price Property Indexes (RPPIs) are used to study the price development of residential property over time. Modeling and analysing an RPPI is not straightforward due to residential property being a heterogeneous good. READ MORE
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5. Surface Light Field Generation, Compression and Rendering
University essay from Medie- och Informationsteknik; Tekniska högskolanAbstract : We present a framework for generating, compressing and rendering of SurfaceLight Field (SLF) data. Our method is based on radiance data generated usingphysically based rendering methods. Thus the SLF data is generated directlyinstead of re-sampling digital photographs. Our SLF representation decouplesspatial resolution from geometric complexity. READ MORE