Sökning: "cross-validation"

Visar resultat 11 - 15 av 252 uppsatser innehållade ordet cross-validation.

1. 11. Supervised Failure Diagnosis of Clustered Logs from Microservice Tests

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

   Författare :Amanda Strömdahl; [2023]
   Nyckelord :Supervised Learning; Failure Diagnosis; Clustered Log Data; Random Forest; SVM; MLP; Övervakad inlärning; feldiagnos; klustrad logg-data; Random Forest; SVM; MLP;

   Sammanfattning : Pinpointing the source of a software failure based on log files can be a time consuming process. Automated log analysis tools are meant to streamline such processes, and can be used for tasks like failure diagnosis. This thesis evaluates three supervised models for failure diagnosis of clustered log data. LÄS MER

3. 12. Building Predictive Models for Stock Market Performance : En studie om maskininlärning och deras prestanda

   Kandidat-uppsats, Uppsala universitet/Institutionen för informatik och media

   Författare :Gabriel Wennmark; Felix Lindgren; [2023]
   Nyckelord :machine learning; classification; stock market; OMXSPI; support vector machine; logistic regression; decision tree; prediction model; maskininlärning; klassifikation; aktiemarknad; OMXSPI; support vector machine; logistisk regression; beslutsträd; prediktionsmodell;

   Sammanfattning : Today it is important for investors to identify which stocks that will result in positive returns in order for the right decision to be made when trading on the stock market. For decades it has been an area of interest for academics, and it is still challenging due to many difficulties and problems. LÄS MER

4. 13. Prediction of dementia based on older adults’ sleep disturbances using machine learning: a controlled experiment.

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Joel Nyholm; [2023]
   Nyckelord :Dementia; Sleep; Risk factors; Machine learning;

   Sammanfattning : Background. Sleep disturbances can indicate an increased risk of dementia. This study examines whether machine learning can predict this association and which sleep disturbance factors impact dementia. Methods. LÄS MER

5. 14. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES

   Magister-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Humphry Takang Bate; [2023]
   Nyckelord :;

   Sammanfattning : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. LÄS MER

7. 15. Developing a highly accurate, locally interpretable neural network for medical image analysis

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Rony David Ventura Caballero; [2023]
   Nyckelord :XAI; Interpretability; Computer vision; Pediatric pneumonia; Chest radiograph;

   Sammanfattning : Background Machine learning techniques, such as convolutional networks, have shown promise in medical image analysis, including the detection of pediatric pneumonia. However, the interpretability of these models is often lacking, compromising their trustworthiness and acceptance in medical applications. LÄS MER