Sökning: "övervakat lärande"

Visar resultat 16 - 19 av 19 uppsatser innehållade orden övervakat lärande.

1. 16. Fuzzer Test Log Analysis Using Machine Learning : Framework to analyze logs and provide feedback to guide the fuzzer

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

   Författare :Jyoti Yadav; [2018]
   Nyckelord :Similarity Measures; Distance function; Machine learning; Clustering; Classification; Benchmarking; Likhetsåtgärder Avståndsfunktion; Maskininlärning; klustring; Klassificering; benchmarking;

   Sammanfattning : In this modern world machine learning and deep learning have become popular choice for analysis and identifying various patterns on data in large volumes. The focus of the thesis work has been on the design of the alternative strategies using machine learning to guide the fuzzer in selecting the most promising test cases. LÄS MER

3. 17. Multi-view versus single-view machine learning for disease diagnosis in primary healthcare

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

   Författare :Aleksandar Labroski; [2018]
   Nyckelord :;

   Sammanfattning : The work presented in this report considers and compares two different approaches of machine learning towards solving the problem of disease diagnosis prediction in primary healthcare: single-view and multi-view machine learning. In particular, the problem of disease diagnosis prediction refers to the issue of predicting a (possible) diagnosis for a given patient based on her past medical history. LÄS MER

4. 18. Feature Selection for Sentiment Analysis of Swedish News Article Titles

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

   Författare :Jonas Dahl; [2018]
   Nyckelord :sentiment analysis; machine learning; sentiments; ml; ai; neural networks; ann; artificial neural networks; convolutional neural network; cnn; language technology; natural language; news; titles; Swedish; sentimentanalys; maskininlärning; sentiment; ml; ai; neuronnät; ann; artificiella neuronnät; cnn; nyheter; nyhetsrubriker; språkteknologi;

   Sammanfattning : The aim of this study was to elaborate the possibilities of sentiment analyzing Swedish news article titles using machine learning approaches and find how the text is best represented in such conditions. Sentiment analysis has traditionally been conducted by part-of-speech tagging and counting word polarities, which performs well for large domains and in absence of large sets of training data. LÄS MER

5. 19. Statistical Machine Learning from Classification Perspective: : Prediction of Household Ties for Economical Decision Making

   Master-uppsats, KTH/Matematisk statistik

   Författare :Kristoffer Brodin; [2017]
   Nyckelord :;

   Sammanfattning : In modern society, many companies have large data records over their individual customers, containing information about attributes, such as name, gender, marital status, address, etc. These attributes can be used to link costumers together, depending on whether they share some sort of relationship with each other or not. LÄS MER