Essays about: "ensemble"
Showing result 1 - 5 of 165 essays containing the word ensemble.
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1. Ensembles of Single Image Super-Resolution Generative Adversarial Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Generative Adversarial Networks have been used to obtain state-of-the-art results for low-level computer vision tasks like single image super-resolution, however, they are notoriously difficult to train due to the instability related to the competing minimax framework. Additionally, traditional ensembling mechanisms cannot be effectively applied with these types of networks due to the resources they require at inference time and the complexity of their architectures. READ MORE
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2. Predicting the Movement Direction of OMXS30 Stock Index Using XGBoost and Sentiment Analysis
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Stock market prediction is an active yet challenging research area. A lot of effort has been put in by both academia and practitioners to produce accurate stock market predictions models, in the attempt to maximize investment objectives. Tree-based ensemble machine learning methods such as XGBoost have proven successful in practice. READ MORE
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3. Can ambient temperature patterns predict fireweed phenology?
University essay from SLU/Dept. of Wildlife, Fish and Environmental StudiesAbstract : The Earth’s climate has been changing with greater intensity and frequency in recent years. These changes, especially the warmer climate, have advanced plant phenology, thus increasing the risk of interspecific temporal mismatches, for example pollinators and pollinated flower species. READ MORE
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4. 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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5. Combined CALPHAD and Machine Learning for Property Modelling
University essay from KTH/MaterialvetenskapAbstract : Techniques to improve the speed at which materials are researched and developed has been conducted by investigating the machine learning methodology. These techniques offer solutions to connect the length scales of material prop- erties from atomistic and chemical features using materials databases generated from collected data. READ MORE
