Sökning: "Shapley values"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden Shapley values.

1. 1. Real-time Energy Performance Tracking

   Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

   Författare :Huu Thien Nguyen; [2023]
   Nyckelord :;

   Sammanfattning : Energy performance tracking is becoming increasingly significant in the building industry as a means of improving energy efficiency. This thesis provides answers to the questions related to improving energy tracking system in general, including its potentials, problems and challenges. LÄS MER

3. 2. A Causal Analysis of Cat Bond Markets

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

   Författare :Tim Matheis; [2023]
   Nyckelord :Cat bonds; Insurance-linked securities; Causal machine learning; Random forests;

   Sammanfattning : This work is a contribution to the causal analysis of the catastrophe bond market, which has generated high excess returns over the last two decades. Since these excess returns remain partially unexplainable and the interest in catastrophe bonds is increasing, the causal study of the factors affecting their premiums is of high relevance. LÄS MER

4. 3. Evaluating Marketing Initiatives using Explainable Machine Learning : An Alternative to Attribution Models

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

   Författare :João Ferreira; [2023]
   Nyckelord :Explainable Machine Learning; Attribution models; Marketing Automation; Search Engine Optimization; A B testing; Definierad maskininlärning; Attributionsmodeller; Automatisering av marknadsföring; Optimering av sökmotor; A B-tester;

   Sammanfattning : Since its inception, Marketing has always needed more clearly defined incrementality, i.e., a measurement of advertisement effectiveness. Nowadays, Marketing is an evergrowing business; within it, Digital Marketing is taking the spotlight. LÄS MER

5. 4. Duplicate detection of multimodal and domain-specific trouble reports when having few samples : An evaluation of models using natural language processing, machine learning, and Siamese networks pre-trained on automatically labeled data

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

   Författare :Viktor Karlstrand; [2022]
   Nyckelord :Duplicate detection; Bug reports; Trouble reports; Natural language processing; Information retrieval; Machine learning; Siamese neural network; Transformers; Automated data labeling; Shapley values; Dubblettdetektering; Felrapporter; Buggrapporter; Naturlig språkbehandling; Informationssökning; Maskininlärning; Siamesiska neurala nätverk; Transformatorer; Automatiserad datamärkning; Shapley-värden;

   Sammanfattning : Trouble and bug reports are essential in software maintenance and for identifying faults—a challenging and time-consuming task. In cases when the fault and reports are similar or identical to previous and already resolved ones, the effort can be reduced significantly making the prospect of automatically detecting duplicates very compelling. LÄS MER

7. 5. Machine Learning for Early Prediction of Pneumothorax in the Intensive Care Unit

   Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Författare :Emma Malm; [2022]
   Nyckelord :machine learning; deep learning; pneumothorax; intensive care unit; onset prediction;

   Sammanfattning : By taking advantage of the increasing amount of available electronic health data, applications of machine learning in the intensive care unit have the potential to improve medical diagnostics and risk stratification. This thesis proposes an approach for early onset prediction of pneumothorax with such technique, using time series data extracted from a clinical database. LÄS MER