]> BibSonomy publications for /author/Girolami http://www.bibsonomy.org/burst/author/Girolami BibSonomy BuRST Feed for /author/Girolami 2008-07-20T23:36:26+02:00 Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection. dblphttp://www.bibsonomy.org/bibtex/2d902f06d615a62a90e77135d95cef798/dblp dblp 2008-05-09T00:00:00+02:00 dblp
Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection.
Theodoros Damoulas and Mark A. Girolami Bioinformatics 24 1264-1270 (2008)
to dblp by dblp on 2008-05-09 00:00:00 ]]> Bioinformatics101264-1270Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection.242008dblp 2008-05-09 00:00:00.0 Mercer Kernel Based Clustering in Feature Space KDubiq Blueprinthttp://www.bibsonomy.org/bibtex/21f5ce8e6f390c33e4517dc50727fa424/kdubiq kdubiq 2008-04-30T12:59:47+02:00 imported
Mercer Kernel Based Clustering in Feature Space
Mark Girolami I.E.E.E. Transactions on Neural Networks (2001)
to imported by kdubiq on 2008-04-30 12:59:47 ]]> I.E.E.E. Transactions on Neural NetworksMercer Kernel Based Clustering in Feature Space2001imported 2008-04-30 12:59:47.0This paper presents a method for both the unsupervised partitioning of a sample of data and the estimation of the possible number of inherent clusters which generate the data. This work exploits the notion that performing a nonlinear data transformation into some high dimensional feature space increases the probability of the linear separability of the patterns within the transformed space and therefore simplifies the associated data structure. It is shown that the eigenvectors of a kernel matrix which defines the implicit mapping provides a means to estimate the number of clusters inherent within the data and a computationally simple iterative procedure is presented for the subsequent feature space partitioning of the data. A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams http://www.bibsonomy.org/bibtex/2f81bc9315be5c3fb426ee22b2508c4d6/renew renew 2008-04-21T12:58:08+02:00 evolution tdt topic visualization
A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams
Ata Kaban and Mark Girolami Journal of Intelligent Information Systems 18 107--125 (2002)
to evolution tdt topic visualization by renew on 2008-04-21 12:58:08 ]]> Journal of Intelligent Information Systems2/3107--125A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams182002evolution tdt topic visualization 2008-04-21 12:58:08.0We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information. This can be seen as a complementary tool for topic detection and tracking applications. This is achieved by the exploitation of the a priori domain knowledge available, that there are relatively homogeneous temporal segments in the data stream. In a different manner from topographical techniques previously utilized for static text collections, the topography is an outcome of the coherence in time of the data stream in the proposed model. Simulation results on both toy-data settings and an actual application on Internet chat line discussion analysis is presented by way of demonstration. ParCrys: a Parzen window density estimation approach to protein crystallization propensity prediction. dblphttp://www.bibsonomy.org/bibtex/2dfee79f077083b59dbf19c4e5905b35a/dblp dblp 2008-04-04T00:00:00+02:00 dblp
ParCrys: a Parzen window density estimation approach to protein crystallization propensity prediction.
Ian M. Overton and Gianandrea Padovani and Mark A. Girolami and Geoffrey J. Barton Bioinformatics 24 901-907 (2008)
to dblp by dblp on 2008-04-04 00:00:00 ]]> Bioinformatics7901-907ParCrys: a Parzen window density estimation approach to protein crystallization propensity prediction.242008dblp 2008-04-04 00:00:00.0 Bayesian ranking of biochemical system models. dblphttp://www.bibsonomy.org/bibtex/216f7778e985653d33d1c71a4b2a4bf4f/dblp dblp 2008-04-04T00:00:00+02:00 dblp
Bayesian ranking of biochemical system models.
Vladislav Vyshemirsky and Mark Girolami Bioinformatics 24 833-839 (2008)
to dblp by dblp on 2008-04-04 00:00:00 ]]> Bioinformatics6833-839Bayesian ranking of biochemical system models.242008dblp 2008-04-04 00:00:00.0 Clustering via kernel decomposition. dblphttp://www.bibsonomy.org/bibtex/2fa6436c85cb5ec61ccb927aeccc5133c/dblp dblp 2008-03-11T00:00:00+01:00 dblp
Clustering via kernel decomposition.
Anna Szymkowiak-Have and Mark Girolami and Jan Larsen IEEE Transactions on Neural Networks 17 256-264 (2006)
to dblp by dblp on 2008-03-11 00:00:00 ]]> IEEE Transactions on Neural Networks1256-264Clustering via kernel decomposition.172006dblp 2008-03-11 00:00:00.0 A common neural-network model for unsupervised exploratory data analysis and independent component analysis. dblphttp://www.bibsonomy.org/bibtex/2c43101ea07e40a9ca5443071b672fa4b/dblp dblp 2008-02-15T00:00:00+01:00 dblp
A common neural-network model for unsupervised exploratory data analysis and independent component analysis.
Mark Girolami and Andrzej Cichocki and Shun ichi Amari IEEE Transactions on Neural Networks 9 1495-1501 (1998)
to dblp by dblp on 2008-02-15 00:00:00 ]]> IEEE Transactions on Neural Networks61495-1501A common neural-network model for unsupervised exploratory data analysis and independent component analysis.91998dblp 2008-02-15 00:00:00.0 Service Oriented Architecture: Challenges for Business and Academia. dblphttp://www.bibsonomy.org/bibtex/2be0d374b3ef683d8609efb1a85222523/dblp dblp 2008-02-01T00:00:00+01:00 dblp
Service Oriented Architecture: Challenges for Business and Academia.
Amelia Maurizio and James Sager and Peter Jones and Gail Corbitt and Louis Girolami HICSS 315 (2008)
to dblp by dblp on 2008-02-01 00:00:00 ]]> HICSSconf/hicss/2008315Service Oriented Architecture: Challenges for Business and Academia.2008dblp 2008-02-01 00:00:00.0 vbmp: Variational Bayesian Multinomial Probit Regression for multi-class classification in R. dblphttp://www.bibsonomy.org/bibtex/28c566010a84202fa56c9e87b404a8959/dblp dblp 2008-01-11T00:00:00+01:00 dblp
vbmp: Variational Bayesian Multinomial Probit Regression for multi-class classification in R.
Nicola Lama and Mark Girolami Bioinformatics 24 135-136 (2008)
to dblp by dblp on 2008-01-11 00:00:00 ]]> Bioinformatics1135-136vbmp: Variational Bayesian Multinomial Probit Regression for multi-class classification in R.242008dblp 2008-01-11 00:00:00.0 Genre Classification and Domain Transfer for Information Filtering. dblphttp://www.bibsonomy.org/bibtex/224e56fb01610709deea37eb7fcf855f9/bsmyth bsmyth 2007-11-02T23:45:09+01:00 barry-smyth dblp,
Genre Classification and Domain Transfer for Information Filtering.
Aidan Finn and Nicholas Kushmerick and Barry Smyth ECIR 353-362 (2002)
to barry-smyth dblp, by bsmyth on 2007-11-02 23:45:09 ]]> ECIRconf/ecir/2002353-362Lecture Notes in Computer ScienceGenre Classification and Domain Transfer for Information Filtering.22912002barry-smyth dblp, 2007-11-02 23:45:09.0