Essays about: "Tolkningsbar Maskininlärning"
Showing result 1 - 5 of 6 essays containing the words Tolkningsbar Maskininlärning.
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1. Zero/Few-Shot Text Classification : A Study of Practical Aspects and Applications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : SOTA language models have demonstrated remarkable capabilities in tackling NLP tasks they have not been explicitly trained on – given a few demonstrations of the task (few-shot learning), or even none at all (zero-shot learning). The purpose of this Master’s thesis has been to investigate practical aspects and potential applications of zero/few-shot learning in the context of text classification. READ MORE
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2. Hybrid Ensemble Methods: Interpretible Machine Learning for High Risk Aeras
University essay from KTH/Matematisk statistikAbstract : Despite the access to enormous amounts of data, there is a holdback in the usage of machine learning in the Cyber Security field due to the lack of interpretability of ”Blackbox” models and due to heterogenerous data. This project presents a method that provide insights in the decision making process in Cyber Security classification. READ MORE
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3. On the impact of geospatial features in real estate appraisal with interpretable algorithms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Real estate appraisal is the means of defining the market value of land and property affixed to it. Many different features determine the market value of a property. For example, the distance to the nearest park or the travel time to the central business district may be significant when determining its market value. READ MORE
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4. Assessment of Predictive Models for Improving Default Settings in Streaming Services
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Streaming services provide different settings where customers can choose a sound and video quality based on personal preference. The majority of users never make an active choice; instead, they get a default quality setting which is chosen automatically for them based on some parameters, like internet connection quality. READ MORE
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5. A MODEL-INDEPENDENT METHODOLOGY FOR A ROOT CAUSE ANALYSIS SYSTEM : A STUDY INVESTIGATING INTERPRETABLE MACHINE LEARNING METHODS
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Today, companies like Volvo GTO experience a vast increase in data and the ability toprocess it. This makes it possible to utilize machine learning models to construct a rootcause analysis system in order to predict, explain and prevent defects. READ MORE