Now showing items 18-22 of 22

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

      Savage, Richard S.; Heller, Katherine; Xu, Yang; Ghahramani, Zoubin; Truman, William M.; Grant, Murray; Denby, Katherine J. 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 ...
    • Scalable Variational Gaussian Process Classification 

      Hensman, James; Matthews, Alexander G. de G.; 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 ...
    • Towards exploratory faceted search systems 

      Ksikes, Alex (2014-03-04)
      In this thesis, we cover what we believe would be the main ingredients of an exploratory search system (ESS). In a nutshell, these are textual queries, facets, visual results, social search and query-by-example. The goal ...
    • A unified framework for resource-bounded autonomous agents interacting with unknown environments 

      Ortega, Pedro Alejandro Jr (2011-07-12)
      The aim of this thesis is to present a mathematical framework for conceptualizing and constructing adaptive autonomous systems under resource constraints. The first part of this thesis contains a concise presentation of ...