Essays about: "iterative learning approach"

Showing result 16 - 20 of 58 essays containing the words iterative learning approach.

  1. 16. Active Learning for Solving Expensive Optimization Problems

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Siwei Fu; [2022]
    Keywords : ;

    Abstract : Many practical engineering and computer science problems can be translated into a global otimization problem where the task is to find the best (optimal) vector 𝒙𝒙∗ that gives the smallest possible function value 𝑓𝑓 = 𝑓𝑓(𝒙𝒙∗) for some function 𝑓𝑓() of interest. Often the function 𝑓𝑓() is expensive in the sense that it cannot be easily evaluated computationally or experimentally in terms of time and/or resources required. READ MORE

  2. 17. Samhällsplanering i klimatförändringarnas era : en studie av översiktsplanerna i Laholms Kommun 1987–2014

    University essay from SLU/Dept. of Landscape Architecture, Planning and Management (from 130101)

    Author : Anna Welandson; [2022]
    Keywords : översiktsplaner; översiktsplanering; klimatförändringar; hållbar utveckling; klimatanpassning;

    Abstract : Kommuner har blivit utsedda till de viktigaste enheterna att driva åtgärder för att minska utsläpp av växthusgaser och för att anpassa samhället till klimatförändringarna. Samhällsplanering anses vara ett av kommunernas viktigaste verktyg i processen. READ MORE

  3. 18. Art Class Stinks : Exploring Olfactory Interaction Design and Its Potential to Enrich Learning in Art Education

    University essay from Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)

    Author : Maria Nikoli; [2022]
    Keywords : embodied; olfactory interaction; physical computing; art; education; olfactory display;

    Abstract : The sense of smell is crucial to everyday activities that make life pleasurable, such as eating, and it is also key to detecting danger, such as fire or rotten food. In addition, it is strongly linked with memory retrieval, it can induce affective states, and may even enhance the sense of presence in immersive environments. READ MORE

  4. 19. Using Gradient Boosting to Identify Pricing Errors in GLM-Based Tariffs for Non-life Insurance

    University essay from KTH/Matematik (Avd.)

    Author : Felix Greberg; Andreas Rylander; [2022]
    Keywords : GLM; Gradient Boosting; XGBoost; Non-life insurance; Property Casualty; Rate making; Insurance Tariff; MTPL insurance; Machine learning; Regression trees; Tweedie regression; Credit risk; GLM; Gradient Boosting; XGBoost; Skadeförsäkring; Prissättning; Försäkringstariff; Trafikförsäkring; Regressionsträd; Maskininlärning; Tweedie-regression; Kreditrisk;

    Abstract : Most non-life insurers and many creditors use regressions, more specifically Generalized Linear Models (GLM), to price their liabilities. One limitation with GLMs is that interactions between predictors are handled manually, which makes finding interactions a tedious and time-consuming task. READ MORE

  5. 20. Computational Design in the AEC industry : Applications and Limitations

    University essay from Luleå tekniska universitet/Institutionen för samhällsbyggnad och naturresurser

    Author : Rasmus Mikaelsson; [2022]
    Keywords : Parametric design; generative design; design automation; design exploration; architectural engineering construction;

    Abstract : The AEC-industry need to respond to multiple requirements from regulations and clients, leading to that building projects are becoming increasingly complex to handle for designers. CAD or computer aided design is a way to handle these challenges, and within CAD a new method is emerging: Computational design enables users to generate and explore design solutions automatically. READ MORE