Essays about: "Ensembler"

Showing result 1 - 5 of 6 essays containing the word Ensembler.

  1. 1. Ensembles of Single Image Super-Resolution Generative Adversarial Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Victor Castillo Araújo; [2021]
    Keywords : Generative Adversarial Networks; Single Image Super-Resolution; Computer Vision; Convolutional Neural Networks; Ensemble Learning; Generative Adversarial Networks; Superupplösning; Datorseende; Bildanalys; Convolutional neural networks; Ensembler;

    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

  2. 2. Neural Networks and Uncertainty Estimation for Financial Asset Predictions

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Robert Cedergren; [2020]
    Keywords : ;

    Abstract : With the capability of modeling complex non-linear mappings, neural networks have obtained state-of-the-art performance on various tasks. However, traditional neural networks are prone to overfitting as they tend to be overconfident on unseen, noisy and incorrectly labeled data. Neither do they produce meaningful representations of uncertainty. READ MORE

  3. 3. Hybrid Extended Isolation Forest : Anomaly Detection for Bird Alarm

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Viktor Holmér; [2019]
    Keywords : ;

    Abstract : The Isolation Forest algorithm is a random forest based anomaly detection algorithm utilizing isolation to determine anomality of data. The Hybrid Isolation Forest and Extended Isolation Forest algorithms were independently developed to overcome two separate issues with the Isolation Forest algorithm. READ MORE

  4. 4. Analysing ConformationalEnsembles using Machine Learning

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Christin Friberg; [2018]
    Keywords : ;

    Abstract : G-protein coupled receptors are involved in many diseases and act as target for severalpharmaceutical drugs. To develop methods to understand the dynamics of proteinsinvolved in the communication through the cell membrane is therefore crucial. READ MORE

  5. 5. A Machine Learning Ensemble Approach to Churn Prediction : Developing and Comparing Local Explanation Models on Top of a Black-Box Classifier

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Nina Olofsson; [2017]
    Keywords : Machine learning; Ensemble; Random forest; Churn prediction; LIME; Interpretability; CRM; Local explanations;

    Abstract : Churn prediction methods are widely used in Customer Relationship Management and have proven to be valuable for retaining customers. To obtain a high predictive performance, recent studies rely on increasingly complex machine learning methods, such as ensemble or hybrid models. READ MORE