Essays about: "Random Forest"
Showing result 1 - 5 of 356 essays containing the words Random Forest.
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1. Convolutional neural networks for semantic segmentation of FIB-SEM volumetric image data
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : Focused ion beam scanning electron microscopy (FIB-SEM) is a well-established microscopytechnique for 3D imaging of porous materials. We investigate three poroussamples of ethyl cellulose microporous films made from ethyl cellulose and hydroxypropylcellulose (EC/HPC) polymer blends. READ MORE
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2. Clustering and Classification of Time Series in Real-Time Strategy Games - A machine learning approach for mapping StarCraft II games to clusters of game state time series while limited by fog of war
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Real-time strategy (RTS) games feature vast action spaces and incomplete information,thus requiring lengthy training times for AI-agents to master them at the level of ahuman expert. Based on the inherent complexity and the strategical interplay betweenthe players of an RTS game, it is hypothesized that data sets of played games exhibitclustering properties as a result of the actions made by the players. READ MORE
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3. Predicting Pedestrian Counts per Street Segment in Urban Environments
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Cities are continuously growing all over the world and the complexity of designingurban environments increases. Therefore, there is a need to build a better understandingin how our cities work today. One of the essential parts of this is understandingthe pedestrian movement. READ MORE
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4. Cropland and tree cover mapping using Sentinel-2 data in an agroforestry landscape, Burkina Faso
University essay from Göteborgs universitet/Institutionen för geovetenskaperAbstract : Sentinel-2, with high spatial resolution bands and increased number of spectral channels,has provided increased capabilities for vegetation mapping. Cropland masks withinheterogeneous areas such as the Sudano-Sahel zone have become useful for monitoringlandscapes. READ MORE
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5. Deployment failure analysis using machine learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Manually diagnosing recurrent faults in software systems can be an inefficient use of time for engineers. Manual diagnosis of faults is commonly performed by inspecting system logs during the failure time. READ MORE
