Essays about: "Online supervised learning"

Showing result 21 - 25 of 40 essays containing the words Online supervised learning.

  1. 21. Content-based Recommender System for Detecting Complementary Products : Evaluating Siamese Neural Networks for Predicting Complementary Relationships among E-Commerce Products

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

    Author : Marina Angelovska; [2020]
    Keywords : Machine Learning; Deep Learning; Siamese Neural Networks; E-Commerce; Recommender Systems; Complementary Recommendations;

    Abstract : As much as the diverse and rich offer on e-commerce websites helps the users find what they need at one market place, the online catalogs are sometimes too overwhelming. Recommender systems play an important role in e-commerce websites as they improve the customer journey by helping the users find what they want at the right moment. READ MORE

  3. 22. Leveraging Explainable Machine Learning to Raise Awareness among Preadolescents about Gender Bias in Supervised Learning

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

    Author : Gaspar Isaac Melsion Perez; [2020]
    Keywords : explainable AI; interpretability; education; children; gender; bias; machine learning; human-computer interaction; förklarbar AI; tolkbarhet; utbildning; barn; kön; bias; maskininlärning; människa-datorinteraktion;

    Abstract : Machine learning systems have become ubiquitous into our society. This has raised concerns about the potential discrimination that these systems might exert due to unconscious bias present in the data, for example regarding gender and race. READ MORE

  4. 23. Identification of Problem Gambling via Recurrent Neural Networks : Predicting self-exclusion due to problem gambling within the remote gambling sector by means of recurrent neural networks

    University essay from Umeå universitet/Institutionen för fysik

    Author : Måns Bermell; [2019]
    Keywords : LSTM; machine learning; online casino; problem gambling; recurrent neural network; time series;

    Abstract : Under recent years the gambling industry has been moving towards providing their customer the possibility to gamble online instead of visiting a physical location. Aggressive marketing, fast growth and a multitude of actors within the market have resulted in a spike of customers who have developed a gambling problem. READ MORE

  5. 24. Using Machine Learning to Identify Potential Problem Gamblers

    University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Author : Jonas Gustafson; [2019]
    Keywords : Machine Learning; Gambling; Computer Science; Interaction Technology and Design; Problem Gambling;

    Abstract : In modern casinos, personnel exist to advise, or in some cases, order individuals to stop gambling if they are found to be gambling in a destructive way, but what about online gamblers? This thesis evaluated the possibility of using machine learning as a supplement for personnel in real casinos when gambling online. This was done through supervised learning or more specifically, a decision tree algorithm called CART. READ MORE

  6. 25. Applying Artificial Neural Networks to Reduce the Adaptation Space in Self-Adaptive Systems : an exploratory work

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Sarpreet Singh Buttar; [2019]
    Keywords : Self-Adaptive Systems; Self-Adaptation; Architecture-Based Adaptation; Autonomous Systems; Cyber-Physical Systems; CPS; DeltaIoT; IoT; ActivFORMS; MAPE-K Feedback Loop; Runtime Uncertainties; Adaptation Space; Analysis; Machine Learning; Artificial Neural Network; ANN; Online Learning; Deep Learning; Online Supervised Learning; Incremental Learning; Classification; Multi-Layer Perceptron; MLP;

    Abstract : Self-adaptive systems have limited time to adjust their configurations whenever their adaptation goals, i.e., quality requirements, are violated due to some runtime uncertainties. Within the available time, they need to analyze their adaptation space, i. READ MORE