Essays about: "Hybrid Learning"

Showing result 1 - 5 of 150 essays containing the words Hybrid Learning.

  1. 1. Predicting Navigational Patterns in Web Applications using Machine Learning Techniques

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Patric Balan; Gustav Jönemo; [2024]
    Keywords : Technology and Engineering;

    Abstract : In large corporations, customer support is a costly service, and an area of constant optimization. Solutions to increase efficiency and decrease bottlenecks are constantly needed. READ MORE

  3. 2. An Empirical Survey of Bandits in an Industrial Recommender System Setting

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Tobias Schwarz; Johan Brandby; [2023-09-21]
    Keywords : computer science; industrial application; machine learning; reinforcement learning; multi-armed bandits; MAB; contextual multi-armed bandits; survey; batch learning;

    Abstract : In this thesis, the effects of incorporating unstructured data—images in the wild—in contextual multi-armed bandits are investigated, when used within a recommender system setting, which focuses on picture-based content suggestion. The idea is to employ image features, extracted by a pre-trained convolutional neural network, and study the resulting bandit behaviors when including respective excluding this information in the typical context creation, which normally relies on structured data sources—such as metadata. READ MORE

  4. 3. Expert Knowledge Elicitation for Machine Learning : Insights from a Survey and Industrial Case Study

    University essay from Jönköping University/Jönköping AI Lab (JAIL)

    Author : Samuel Svensson; Oskar Persson; [2023]
    Keywords : knowledge elicitation; machine learning; expert knowledge; informed machine learning; hybrid machine learning; survey; taxonomy;

    Abstract : While machine learning has shown success in many fields, it can be challenging when there are limitations with insufficient training data. By incorporating knowledge into the machine learning pipeline, one can overcome such limitations. Therefore, eliciting expert knowledge can play an important role in the machine learning project pipeline. READ MORE

  5. 4. Mathematical modelling simulation data and artificial intelligence for the study of tumour-macrophage interaction

    University essay from Högskolan i Skövde/Institutionen för biovetenskap

    Author : Jaysmita Khanindra Chaliha; [2023]
    Keywords : ;

    Abstract : The study explores the integration of mathematical modelling and machine learning to understand tumour-macrophage interactions in the tumour microenvironment. It details mathematical models based on biochemistry and physics for predicting tumour dynamics, highlighting the role of macrophages. READ MORE

  6. 5. Deep Learning-Based Depth Estimation Models with Monocular SLAM : Impacts of Pure Rotational Movements on Scale Drift and Robustness

    University essay from Linköpings universitet/Datorseende

    Author : Daniel Bladh; [2023]
    Keywords : Deep Learning; Computer Vision; Monocular; SLAM; Depth Estimation;

    Abstract : This thesis explores the integration of deep learning-based depth estimation models with the ORB-SLAM3 framework to address challenges in monocular Simultaneous Localization and Mapping (SLAM), particularly focusing on pure rotational movements. The study investigates the viability of using pre-trained generic depth estimation networks, and hybrid combinations of these networks, to replace traditional depth sensors and improve scale accuracy in SLAM systems. READ MORE