Search for dissertations about: "data diversity"
Showing result 1 - 5 of 666 swedish dissertations containing the words data diversity.
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1. Utilizing Diversity and Performance Measures for Ensemble Creation
Abstract : An ensemble is a composite model, aggregating multiple base models into one predictive model. An ensemble prediction, consequently, is a function of all included base models. Both theory and a wealth of empirical studies have established that ensembles are generally more accurate than single predictive models. READ MORE
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2. Diversified Retrieval of Spatial Data with Context
Abstract : The abundance and ubiquity of spatial datasets necessitates their effective and efficient retrieval. For instance, on the web, there are datasets with GIS objects or POIs (e.g. Spatialhadoop datasets), datasets with geo-tagged photographs (e. READ MORE
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3. Obtaining Accurate and Comprehensible Data Mining Models : An Evolutionary Approach
Abstract : When performing predictive data mining, the use of ensembles is claimed to virtually guarantee increased accuracy compared to the use of single models. Unfortunately, the problem of how to maximize ensemble accuracy is far from solved. READ MORE
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4. Synthetic data for visual machine learning : A data-centric approach
Abstract : Deep learning allows computers to learn from observations, or else training data. Successful application development requires skills in neural network design, adequate computational resources, and a training data distribution that covers the application do-main. READ MORE
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5. On the application of data diversity in dependable flight control systems
Abstract : .... READ MORE
