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Note: Links lead to the DBLP on the Web. Mark Girolami Leif Azzopardi , Mark Girolami, Keith van Risjbergen : Investigating the relationship between language model perplexity and IR precision-recall measures. SIGIR 2003 : 369-370 Mark Girolami, Ata Kaban : On an equivalence between PLSI and LDA. SIGIR 2003 : 433-434 Mark Girolami, Chao He : Probability Density Estimation from Optimally Condensed Data Samples. IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (10): 1253-1264 (2003) Fabio Crestani , Mark Girolami, C. J. van Rijsbergen : Advances in Information Retrieval, 24th BCS-IRSG European Colloquium on IR Research Glasgow, UK, March 25-27, 2002 Proceedings Springer 2002 Ata Kaban , Peter Tino , Mark Girolami: A General Framework for a Principled Hierarchical Visualization of Multivariate Data. IDEAL 2002 : 518-523 Ata Kaban , Mark Girolami: A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams. J. Intell. Inf. Syst. 18 (2-3): 107-125 (2002) Alexei Vinokourov , Mark Girolami: A Probabilistic Framework for the Hierarchic Organisation and Classification of Document Collections. J. Intell. Inf. Syst. 18 (2-3): 153-172 (2002) Mark Girolami: Latent variable models for the topographic organisation of discrete and strictly positive data. Neurocomputing 48 (1-4): 185-198 (2002) Fabio Crestani , Mark Girolami: Report on the 24th European Colloquium on Information Retrieval Research. SIGMOD Record 31 (3): 77-80 (2002) Ella Bingham , Ata Kaban , Mark Girolami: Finding Topics in Dynamical Text: Application to Chat Line Discussions. WWW Posters 2001 Ata Kaban , Mark Girolami: A Combined Latent Class and Trait Model for the Analysis and Visualization of Discrete Data. IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (8): 859-872 (2001) Roman Rosipal , Mark Girolami: An Expectation-Maximization Approach to Nonlinear Component Analysis. Neural Computation 13 (3): 505-510 (2001) Mark Girolami, Alexei Vinokourov , Ata Kaban : The Organization and Visualization of Document Corpora: A Probabilistic Approach. DEXA Workshop 2000 : 558-564 Alexei Vinokourov , Mark Girolami: Probabilistic Hierarchical Clustering Method for Organizing Collections of Text Documents. ICPR 2000 : 2182-2185 Ata Kaban , Mark Girolami: Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents. ICPR 2000 : 2744-2747 Te-Won Lee , Mark Girolami, Terrence J. Sejnowski : Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources. Neural Computation 11 (2): 417-441 (1999) Mark Girolami: An Alternative Perspective on Adaptive Independent Component Analysis Algorithms. Neural Computation 10 (8): 2103-2114 (1998) Mark Girolami: A nonlinear model of the binaural cocktail party effect. Neurocomputing 22 (1-3): 201-215 (1998) 1 [ 18 ] 2 [ 9 ] 3 [ 10 ] [ 15 ] 4 [ 16 ] 5 [ 4 ] [ 6 ] [ 8 ] [ 9 ] [ 13 ] [ 14 ] [ 17 ] 6 [ 3 ] 7 [ 15 ] 8 [ 18 ] 9 [ 7 ] 10 [ 3 ] 11 [ 14 ] 12 [ 5 ] [ 6 ] [ 12 ]  ©2004 Association for Computing Machinery |
