Now showing items 27-30 of 30

    • R/BHC: fast Bayesian hierarchical clustering for microarray data 

      Savage, R; Heller, Katherine Ann; Xu, Y; Ghahramani, Zoubin; Truman, W; Grant, M; Denby, K et al. (2009-08-06)
      Abstract Background Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data analysis, little attention has been paid to ...
    • Scalable Discrete Sampling as a Multi-Armed Bandit Problem 

      Chen, Yutian; Ghahramani, Zoubin (2016)
      Drawing a sample from a discrete distribution is one of the building components for Monte Carlo methods. Like other sampling algorithms, discrete sampling suffers from the high computational burden in large-scale inference ...
    • Scalable Variational Gaussian Process Classification 

      Hensman, James; Matthews, Alexander; Ghahramani, Zoubin (JMLR, 2015-02-21)
      Gaussian process classification is a popular method with a number of appealing properties. We show how to scale the model within a variational inducing point framework, outperforming the state of the art on benchmark ...
    • Weakly supervised collective feature learning from curated media 

      Mukuta, Yusuke; Kimura, Akisato; Adrian, David B; Ghahramani, Zoubin