Sökning: "Förklarbar artificiell intelligens"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden Förklarbar artificiell intelligens.

1. 1. Applications of Formal Explanations in ML

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Nikolaos Smyrnioudis; [2023]
   Nyckelord :Machine Learning; eXplainable Artifical Intelligence; Formal Verification of Machine Learning models; Maskininlärning; förklarbar artificiell intelligens; formell verifiering av maskininlärningsmodeller;

   Sammanfattning : The most performant Machine Learning (ML) classifiers have been labeled black-boxes due to the complexity of their decision process. eXplainable Artificial Intelligence (XAI) methods aim to alleviate this issue by crafting an interpretable explanation for a models prediction. LÄS MER

3. 2. Explaining Mortality Prediction With Logistic Regression

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Alva Johansson Staaf; Victor Engdahl; [2022]
   Nyckelord :Machine Learning; Logistic Regression; Mortality Prediction; Explainability; MIMIC-III;

   Sammanfattning : Explainability is a key component in building trust for computer calculated predictions when they are applied to areas with influence over individual people. This bachelor thesis project report focuses on the explanation regarding the decision making process of the machine learning method Logistic Regression when predicting mortality. LÄS MER

4. 3. Explainable Reinforcement Learning for Remote Electrical Tilt Optimization

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Artin Mirzaian; [2022]
   Nyckelord :Reinforcement Learning; Explainability; Explainable Reinforcement Learning; Machine Learning; Artificial Intelligence; Remote Electrical tilt optimization.; Förstärkningsinlärning; Förklarbarhet; Förklarbar Förstärkningsinlärning; Maskininlärning; Artificiell Intelligens; Optimering av Fjärrlutning.;

   Sammanfattning : Controlling antennas’ vertical tilt through Remote Electrical Tilt (RET) is an effective method to optimize network performance. Reinforcement Learning (RL) algorithms such as Deep Reinforcement Learning (DRL) have been shown to be successful for RET optimization. LÄS MER

5. 4. Explainability of Machine Learning in Forecasts for Retail Sales Campaigns

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Alexander Olsson; Robin Zamojsky; [2022]
   Nyckelord :;

   Sammanfattning : Explainable artificial intelligence is a growing field which is becoming increasingly important as machine learning is more integrated in businesses and various functions in society. A rising concern is the lack of transparency in decision-making processes for a substantial number of machine learning models. LÄS MER

7. 5. Explainable Artificial Intelligence for Reinforcement Learning Agents

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Linus Nilsson; [2021]
   Nyckelord :;

   Sammanfattning : Following the success that machine learning has enjoyed over the last decade, reinforcement learning has become a prime research area for automation and solving complex tasks. Ranging from playing video games at a professional level to robots collaborating in picking goods in warehouses, the applications of reinforcement learning are numerous. LÄS MER