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Mark Girolami: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Mark Girolami, Alexei Vinokourov, Ata Kabán
    The Organization and Visualization of Document Corpora: A Probabilistic Approach. [Citation Graph (0, 0)][DBLP]
    DEXA Workshop, 2000, pp:558-564 [Conf]
  2. Mark Girolami
    A generative model for sparse discrete binary data with non-uniform categorical priors. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:1-6 [Conf]
  3. Mark Girolami, Colin Fyfe
    Independence is far from normal. [Citation Graph (0, 0)][DBLP]
    ESANN, 1997, pp:- [Conf]
  4. Simon Rogers, Mark Girolami, Ronald Krebs, Harald Mischak
    Disease Classification from Capillary Electrophoresis: Mass Spectrometry. [Citation Graph (0, 0)][DBLP]
    ICAPR (1), 2005, pp:183-191 [Conf]
  5. Mark Girolami, Simon Rogers
    Hierarchic Bayesian models for kernel learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:241-248 [Conf]
  6. Ata Kabán, Mark Girolami
    Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2744-2747 [Conf]
  7. Alexei Vinokourov, Mark Girolami
    Probabilistic Hierarchical Clustering Method for Organizing Collections of Text Documents. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2182-2185 [Conf]
  8. Ali Al-Shahib, Chao He, Aik Choon Tan, Mark Girolami, David Gilbert
    An Assessment of Feature Relevance in Predicting Protein Function from Sequence. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:52-57 [Conf]
  9. Ata Kabán, Peter Tiño, Mark Girolami
    A General Framework for a Principled Hierarchical Visualization of Multivariate Data. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2002, pp:518-523 [Conf]
  10. Mark Girolami, Ata Kabán
    Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  11. Leif Azzopardi, Mark Girolami, Malcolm Crowe
    Probabilistic hyperspace analogue to language. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2005, pp:575-576 [Conf]
  12. Leif Azzopardi, Mark Girolami, Keith van Risjbergen
    Investigating the relationship between language model perplexity and IR precision-recall measures. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2003, pp:369-370 [Conf]
  13. Leif Azzopardi, Mark Girolami, Cornelis Joost van Rijsbergen
    User biased document language modelling. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2004, pp:542-543 [Conf]
  14. Mark Girolami, Ata Kabán
    On an equivalence between PLSI and LDA. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2003, pp:433-434 [Conf]
  15. Ella Bingham, Ata Kabán, Mark Girolami
    Finding Topics in Dynamical Text: Application to Chat Line Discussions. [Citation Graph (0, 0)][DBLP]
    WWW Posters, 2001, pp:- [Conf]
  16. Mark Girolami, Rainer Breitling
    Biologically valid linear factor models of gene expression. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:17, pp:3021-3033 [Journal]
  17. Simon Rogers, Mark Girolami
    A Bayesian regression approach to the inference of regulatory networks from gene expression data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:14, pp:3131-3137 [Journal]
  18. Mark Girolami, Ata Kabán
    Sequential Activity Profiling: Latent Dirichlet Allocation of Markov Chains. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2005, v:10, n:3, pp:175-196 [Journal]
  19. Mark Girolami, Colin Fyfe
    Stochastic ICA Contrast Maximisation Using Oja's Nonlinear PCA Algorithm. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1997, v:8, n:5-6, pp:661-678 [Journal]
  20. Mark Girolami
    Latent variable models for the topographic organisation of discrete and strictly positive data. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:48, n:1-4, pp:185-198 [Journal]
  21. Mark Girolami
    A nonlinear model of the binaural cocktail party effect. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1998, v:22, n:1-3, pp:201-215 [Journal]
  22. Ata Kabán, Mark Girolami
    A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2002, v:18, n:2-3, pp:107-125 [Journal]
  23. Alexei Vinokourov, Mark Girolami
    A Probabilistic Framework for the Hierarchic Organisation and Classification of Document Collections. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2002, v:18, n:2-3, pp:153-172 [Journal]
  24. Roman Rosipal, Mark Girolami, Leonard J. Trejo, Andrzej Cichocki
    Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2001, v:10, n:3, pp:231-243 [Journal]
  25. Mark Girolami
    A Variational Method for Learning Sparse and Overcomplete Representations. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:11, pp:2517-2532 [Journal]
  26. Mark Girolami
    Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:3, pp:669-688 [Journal]
  27. Mark Girolami
    An Alternative Perspective on Adaptive Independent Component Analysis Algorithms. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:8, pp:2103-2114 [Journal]
  28. Mark Girolami, Simon Rogers
    Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:8, pp:1790-1817 [Journal]
  29. Te-Won Lee, Mark Girolami, Terrence J. Sejnowski
    Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:2, pp:417-441 [Journal]
  30. Roman Rosipal, Mark Girolami
    An Expectation-Maximization Approach to Nonlinear Component Analysis. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:3, pp:505-510 [Journal]
  31. Mark Girolami, Colin Fyfe
    An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problem. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:9, pp:1607-1618 [Journal]
  32. Ella Bingham, Ata Kabán, Mark Girolami
    Topic Identification in Dynamical Text by Complexity Pursuit. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2003, v:17, n:1, pp:69-83 [Journal]
  33. Mark Girolami
    The Latent Variable Data Model for Exploratory Data Analysis and Visualisation: A Generalisation of the Nonlinear Infomax Algorithm. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1998, v:8, n:1, pp:27-39 [Journal]
  34. Mark Girolami, Colin Fyfe
    A Temporal Model of Linear Anti-Hebbian Learning. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1996, v:4, n:3, pp:139-148 [Journal]
  35. Ata Kabán, Mark Girolami
    Fast Extraction of Semantic Features from a Latent Semantic Indexed Text Corpus. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2002, v:15, n:1, pp:31-43 [Journal]
  36. Mark Girolami, Chao He
    Probability Density Estimation from Optimally Condensed Data Samples. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:10, pp:1253-1264 [Journal]
  37. Ata Kabán, Mark Girolami
    A Combined Latent Class and Trait Model for the Analysis and Visualization of Discrete Data. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2001, v:23, n:8, pp:859-872 [Journal]
  38. Chao He, Mark Girolami, Gary Ross
    Employing optimized combinations of one-class classifiers for automated currency validation. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:6, pp:1085-1096 [Journal]
  39. Chao He, Mark Girolami
    Novelty detection employing an L2 optimal non-parametric density estimator. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2004, v:25, n:12, pp:1389-1397 [Journal]
  40. Fabio Crestani, Mark Girolami, C. J. van Rijsbergen
    Report on the 24th European colloquium on information retrieval research (ECIR 2002). [Citation Graph (0, 0)][DBLP]
    SIGIR Forum, 2002, v:36, n:1, pp:6-9 [Journal]
  41. Fabio Crestani, Mark Girolami
    Report on the 24th European Colloquium on Information Retrieval Research. [Citation Graph (0, 0)][DBLP]
    SIGMOD Record, 2002, v:31, n:3, pp:77-80 [Journal]
  42. Simon Rogers, Mark Girolami, Colin Campbell, Rainer Breitling
    The Latent Process Decomposition of cDNA Microarray Data Sets. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:2, pp:143-156 [Journal]
  43. Robert Jenssen, Torbjørn Eltoft, Mark Girolami, Deniz Erdogmus
    Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:633-640 [Conf]
  44. Mark Girolami, Mingjun Zhong
    Data Integration for Classification Problems Employing Gaussian Process Priors. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:465-472 [Conf]
  45. Gavin C. Cawley, Nicola L. C. Talbot, Mark Girolami
    Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:209-216 [Conf]
  46. Dongshan Xing, Mark Girolami
    Employing Latent Dirichlet Allocation for fraud detection in telecommunications. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2007, v:28, n:13, pp:1727-1734 [Journal]
  47. S. Manocha, Mark Girolami
    An empirical analysis of the probabilistic K-nearest neighbour classifier. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2007, v:28, n:13, pp:1818-1824 [Journal]

  48. Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes. [Citation Graph (, )][DBLP]


  49. Detecting worm variants using machine learning. [Citation Graph (, )][DBLP]


  50. vbmp: Variational Bayesian Multinomial Probit Regression for multi-class classification in R. [Citation Graph (, )][DBLP]


  51. Bayesian ranking of biochemical system models. [Citation Graph (, )][DBLP]


  52. BioBayes: A software package for Bayesian inference in systems biology. [Citation Graph (, )][DBLP]


  53. Bayesian model-based inference of transcription factor activity. [Citation Graph (, )][DBLP]


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