Essays about: "Förutsägelser"
Showing result 11 - 15 of 196 essays containing the word Förutsägelser.
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11. Recommender Systems Using Limited Dataset Sizes
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In order to create personalized recommendations for users on services such as e-commerce websites and streaming platforms, recommender systems often utilize various machine learning techniques. A common technique used in recommender systems is collaborative filtering which creates rating predictions based on similar users’ interests. READ MORE
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12. Enhancing House Rental Price Prediction Models for the Swedish Market : Exploring External features, Prediction intervals and Uncertainty Management in Predicting House Rental Prices
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Exakt förutsägelse av hyrespriserna för hus är ett avgörande problem i verkligheten fastighetsdomän, vilket underlättar informerat beslutsfattande för både hyresgäster och hyresvärdar. Denna studie presenterar en omfattande utforskning av olika maskininlärningstekniker som tillämpas på en mångsidig datauppsättning av husfunktioner, med det övergripande målet att avslöja den mest effektiva algoritmen för förutsäga hyrespriser. READ MORE
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13. Forecasting U.S. Movie Gross Revenues : A Random Forest Classifier Approach Based on Pre-production Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Blockbusters screening in cinemas often include star-studded casts in hope of becoming profitable. However, producing a movie is associated with great risk. More than half of the movies released between 2008 and 2012 in the U.S. READ MORE
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14. A Gradient Boosting Tree Approach for Behavioural Credit Scoring
University essay from KTH/Matematisk statistikAbstract : This report evaluates the possibility of using sequential learning in a material development setting to help predict material properties and speed up the development of new materials. To do this a Random forest model was built incorporating carefully calibrated prediction uncertainty estimates. READ MORE
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15. Comparison of Output Decoding Techniques for Spiking Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Spiking Neural Networks (SNNs) hold significant potential due to their high energy efficiency when implemented on specialized hardware. Central to SNNs is the translation of sequences of spike events to concrete outputs, like class predictions. READ MORE
