Sökning: "Alexander Hagerf"

Hittade 1 uppsats innehållade orden Alexander Hagerf.

  1. 1. Complexity in Statistical Relational Learning : A Study on Learning Bayesian Logic Programs

    Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Alexander Hagerf; [2015]
    Nyckelord :machine learning; statistical; herbrand; relational; ilp; kreator; learning; bayesian; logic; program; balios; complexity; blp; srl; foi; maskininlärning; relationslärande; herbrand; ilp; kreator; relationer; logik; komplexitet; balios; bayesiansk; blp; srl; foi;

    Sammanfattning : Most work that is done within machine learning today uses statistical methods which assume that the data is identically and independently distributed. However, the problem domains that we face in the real world are often much more complicated and present both complex relational/logical parts as well as parts with uncertainty. LÄS MER