Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Neil J. Hurley

Neil J. Hurley
Alert button

Posterior Regularisation on Bayesian Hierarchical Mixture Clustering


May 17, 2021
Weipeng Huang, Tin Lok James Ng, Nishma Laitonjam, Neil J. Hurley

Add code
Alert button

Figure 1 for Posterior Regularisation on Bayesian Hierarchical Mixture Clustering
Figure 2 for Posterior Regularisation on Bayesian Hierarchical Mixture Clustering
Figure 3 for Posterior Regularisation on Bayesian Hierarchical Mixture Clustering
Figure 4 for Posterior Regularisation on Bayesian Hierarchical Mixture Clustering

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology


Aug 27, 2019
Weipeng Huang, Guangyuan Piao, Raul Moreno, Neil J. Hurley

Add code
Alert button

Figure 1 for Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology
Figure 2 for Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology
Figure 3 for Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology
Figure 4 for Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Using Model-based Overlapping Seed Expansion to detect highly overlapping community structure


Nov 17, 2010
Aaron F. McDaid, Neil J. Hurley

Add code
Alert button

Figure 1 for Using Model-based Overlapping Seed Expansion to detect highly overlapping community structure
Figure 2 for Using Model-based Overlapping Seed Expansion to detect highly overlapping community structure
Figure 3 for Using Model-based Overlapping Seed Expansion to detect highly overlapping community structure
Figure 4 for Using Model-based Overlapping Seed Expansion to detect highly overlapping community structure
* based on work accepted at ASONAM 2010 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email