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• Applying Supervised Machine Learning Algorithms for Fraud Detection in Anti-Money Laundering

  Author(s):

  Omri Raiter (see profile)

  Date:

  2021

  Subject(s):

  Machine learning

  Item Type:

  Article

  Tag(s):

  AML, ANN, Logistic Regression, Random Forest, SVM

  Search term matches:

  Tag

  ... random forest ...

  Full Text

  ... machine learning algorithms (Logistic regression, SVM, Random Forest, and ANN) using a synthetic dataset ...

  
  

• NER on Ancient Greek with minimal annotation

  Author(s):

  Chiara Palladino, Farimah Karimi, Brigitte Mathiak (see profile)

  Date:

  2020

  Group(s):

  DH2020

  Subject(s):

  Digital humanities, Research, Methodology

  Item Type:

  Conference paper

  Tag(s):

  Conditional Random Fields, Herodot, Named Entity Recognition, Digital humanities research and methodology

  Search term matches:

  Tag

  ... conditional random fields ...

  Full Text

  ... . We used a Conditional Random Fields (CRF) algorithm5 and trained it with various features, considering ...

  
  

• Drahndl, Glückszirkel, Tourniquet, Zeiger-Roulette: Glücksspiele mit Drehnadel

  Author(s):

  Jonas Richter (see profile)

  Date:

  2020

  Group(s):

  Game Studies, German Literature and Culture, History of Games and Play

  Subject(s):

  Games--Study and teaching, Games, Play, History, Onomasiology

  Item Type:

  Blog Post

  Tag(s):

  gambling, randomizers, onomasiology, Gaming, Analog game studies, History of games and play

  Search term matches:

  Tag

  ... randomizers ...

  Full Text

  ... , Przemyslaw Perlikowski, Andrzej Stefanski, Tomasz Kapitaniak: Dynamics of Gambling: Origins of Randomness ...

  
  

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