Search for dissertations about: "dimensionality reduction"
Showing result 1 - 5 of 51 swedish dissertations containing the words dimensionality reduction.
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1. Online Dimensionality Reduction
Abstract : In this thesis, we investigate online dimensionality reduction methods, wherethe algorithms learn by sequentially acquiring data. We focus on two specificalgorithm design problems in (i) recommender systems and (ii) heterogeneousclustering from binary user feedback. READ MORE
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2. Nonlinear dimensionality reduction of gene expression data
Abstract : Using microarray measurements techniques, it is possible to measure the activity of genes simultaneously across the whole genome. Since genes influence each others activity levels through complex regulatory networks, such gene expression measurements are state samples of a dynamical system. READ MORE
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3. Nearest Neighbor Classification in High Dimensions
Abstract : The simple k nearest neighbor (kNN) method can be used to learn from high dimensional data such as images and microarrays without any modification to the original version of the algorithm. However, studies show that kNN's accuracy is often poor in high dimensions due to the curse of dimensionality; a large number of instances are required to maintain a given level of accuracy in high dimensions. READ MORE
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4. Generalized Hebbian Algorithm for Dimensionality Reduction in Natural Language Processing
Abstract : The current surge of interest in search and comparison tasks in natural language processing has brought with it a focus on vector space approaches and vector space dimensionality reduction techniques. Presenting data as points in hyperspace provides opportunities to use a variety of welldeveloped tools pertinent to this representation. READ MORE
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5. Methodology and Infrastructure for Statistical Computing in Genomics : Applications for Ancient DNA
Abstract : This thesis concerns the development and evaluation of computational methods for analysis of genetic data. A particular focus is on ancient DNA recovered from archaeological finds, the analysis of which has contributed to novel insights into human evolutionary and demographic history, while also introducing new challenges and the demand for specialized methods. READ MORE