Search results for "Mark A. Girolami"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Neil D. Lawrence, Mark A. Girolami	Preface.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Ke Yuan, Mark Girolami, Mahesan Niranjan	Markov Chain Monte Carlo Methods for State-Space Models with Point Process Observations.	Neural Computation	2012	DBLP DOI BibTeX RDF
1	Timo Honkela, Wlodzislaw Duch, Mark A. Girolami, Samuel Kaski (eds.)	Artificial Neural Networks and Machine Learning - ICANN 2011 - 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I	ICANN	2011	DBLP DOI BibTeX RDF
1	Timo Honkela, Wlodzislaw Duch, Mark A. Girolami, Samuel Kaski (eds.)	Artificial Neural Networks and Machine Learning - ICANN 2011 - 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part II	ICANN	2011	DBLP DOI BibTeX RDF
1	Hans Lehrach, Ralf Sudbrak, Peter Boyle, Markus Pasterk, Kurt Zatloukal, Heimo Müller, Tim Hubbard, Angela Brand, Mark Girolami, Daniel Jameson, Frank J. Bruggeman, Hans V. Westerhoff	ITFoM - The IT Future of Medicine.	Procedia CS	2011	DBLP DOI BibTeX RDF
1	Tamara Polajnar, Simon Rogers, Mark Girolami	Protein interaction detection in sentences via Gaussian Processes: a preliminary evaluation.	IJDMB	2011	DBLP DOI BibTeX RDF
1	Roberto Paredes, Mark Girolami	On the Use of Diagonal and Class-Dependent Weighted Distances for the Probabilistic k-Nearest Neighbor.	IbPRIA	2011	DBLP DOI BibTeX RDF
1	Ioannis Psorakis, Theodoros Damoulas, Mark A. Girolami	Multiclass relevance vector machines: sparsity and accuracy.	IEEE Transactions on Neural Networks	2010	DBLP DOI BibTeX RDF
1	Mohammed Dakna, Keith Harris, Alexandros Kalousis, Sebastien Carpentier, Walter Kolch, Joost P. Schanstra, Marion Haubitz, Antonia Vlahou, Harald Mischak, Mark Girolami	Addressing the Challenge of Defining Valid Proteomic Biomarkers and Classifiers.	BMC Bioinformatics	2010	DBLP DOI BibTeX RDF
1	Simon Rogers, Mark Girolami, Tamara Polajnar	Semi-parametric analysis of multi-rater data.	Statistics and Computing	2010	DBLP DOI BibTeX RDF
1	Simon Rogers, Arto Klami, Janne Sinkkonen, Mark Girolami, Samuel Kaski	Infinite factorization of multiple non-parametric views.	Machine Learning	2010	DBLP BibTeX RDF
1	Ben Calderhead, Mark A. Girolami	Estimating Bayes factors via thermodynamic integration and population MCMC.	Computational Statistics & Data Analysis	2009	DBLP DOI BibTeX RDF
1	Simon Rogers, Richard A. Scheltema, Mark A. Girolami, Rainer Breitling	Probabilistic assignment of formulas to mass peaks in metabolomics experiments.	Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Theodoros Damoulas, Mark A. Girolami	Combining feature spaces for classification.	Pattern Recognition	2009	DBLP DOI BibTeX RDF
1	Theodoros Damoulas, Mark A. Girolami	Pattern recognition with a Bayesian kernel combination machine.	Pattern Recognition Letters	2009	DBLP DOI BibTeX RDF
1	Keith Harris, Lisa McMillan, Mark A. Girolami	Inferring Meta-covariates in Classification.	PRIB	2009	DBLP DOI BibTeX RDF	clustering, classification, EM algorithm, Gene selection, Gene Ontology
1	Visakan Kadirkamanathan, Guido Sanguinetti, Mark A. Girolami, Mahesan Niranjan, Josselin Noirel (eds.)	Pattern Recognition in Bioinformatics, 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009. Proceedings	PRIB	2009	DBLP DOI BibTeX RDF
1	Rónán Daly, Kieron D. Edwards, John S. O'Neill, J. Stuart Aitken, Andrew J. Millar, Mark A. Girolami	Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana.	PRIB	2009	DBLP DOI BibTeX RDF	Arabidopsis Thaliana, Gene Expression, Dynamic Bayesian Network, Gene Regulatory Network
1	Keith Harris, Mark A. Girolami, Harald Mischak	Definition of Valid Proteomic Biomarkers: A Bayesian Solution.	PRIB	2009	DBLP DOI BibTeX RDF	Proteomic biomarkers, classification, feature selection, Bayesian inference, sparsity
1	Tamara Polajnar, Simon Rogers, Mark A. Girolami	Classification of Protein Interaction Sentences via Gaussian Processes.	PRIB	2009	DBLP DOI BibTeX RDF
1	Tamara Polajnar, Mark A. Girolami	Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics.	PRIB	2009	DBLP DOI BibTeX RDF
1	Yiming Ying, Colin Campbell, Theodoros Damoulas, Mark A. Girolami	Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm.	PRIB	2009	DBLP DOI BibTeX RDF	protein fold prediction, protein subcellular localization, bioinformatics, multi-class, Multiple kernel learning
1	Mingjun Zhong, Mark Girolami	Reversible Jump MCMC for Non-Negative Matrix Factorization.	Journal of Machine Learning Research - Proceedings Track	2009	DBLP BibTeX RDF
1	Yiming Ying, Colin Campbell, Mark Girolami	Analysis of SVM with Indefinite Kernels.	NIPS	2009	DBLP BibTeX RDF
1	Ian M. Overton, Gianandrea Padovani, Mark A. Girolami, Geoffrey J. Barton	ParCrys: a Parzen window density estimation approach to protein crystallization propensity prediction.	Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Theodoros Damoulas, Mark A. Girolami	Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection.	Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Simon Rogers, Mark A. Girolami, Walter Kolch, Katrina M. Waters, Tao Liu, Brian Thrall, H. Steven Wiley	Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models.	Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Vladislav Vyshemirsky, Mark A. Girolami	Bayesian ranking of biochemical system models.	Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Mingjun Zhong, Fabien Lotte, Mark A. Girolami, Anatole Lécuyer	Classifying EEG for brain computer interfaces using Gaussian processes.	Pattern Recognition Letters	2008	DBLP DOI BibTeX RDF
1	Theodoros Damoulas, Yiming Ying, Mark A. Girolami, Colin Campbell	Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins.	ICMLA	2008	DBLP DOI BibTeX RDF
1	Mark Girolami	Bayesian inference for differential equations.	Theor. Comput. Sci.	2008	DBLP DOI BibTeX RDF
1	Vladislav Vyshemirsky, Mark Girolami	Bayesian ranking of biochemical system models.	Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Vladislav Vyshemirsky, Mark Girolami	BioBayes: A software package for Bayesian inference in systems biology.	Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Nicola Lama, Mark Girolami	vbmp: Variational Bayesian Multinomial Probit Regression for multi-class classification in R.	Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Ben Calderhead, Mark Girolami, Neil D. Lawrence	Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes.	NIPS	2008	DBLP BibTeX RDF
1	Simon Rogers, Raya Khanin, Mark Girolami	Bayesian model-based inference of transcription factor activity.	BMC Bioinformatics	2007	DBLP DOI BibTeX RDF
1	Simon Rogers, Mark Girolami	Multi-class Semi-supervised Learning with the e-truncated Multinomial Probit Gaussian Process.	Journal of Machine Learning Research - Proceedings Track	2007	DBLP BibTeX RDF
1	S. Manocha, Mark Girolami	An empirical analysis of the probabilistic K-nearest neighbour classifier.	Pattern Recognition Letters	2007	DBLP DOI BibTeX RDF
1	Dongshan Xing, Mark Girolami	Employing Latent Dirichlet Allocation for fraud detection in telecommunications.	Pattern Recognition Letters	2007	DBLP DOI BibTeX RDF
1	Oliver Sharma, Mark Girolami, Joseph S. Sventek	Detecting worm variants using machine learning.	CoNEXT	2007	DBLP DOI BibTeX RDF
1	Anna Szymkowiak-Have, Mark Girolami, Jan Larsen	Clustering via kernel decomposition.	IEEE Transactions on Neural Networks	2006	DBLP DOI BibTeX RDF
1	Mark Girolami, Simon Rogers	Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors.	Neural Computation	2006	DBLP DOI BibTeX RDF
1	Mark Girolami, Mingjun Zhong	Data Integration for Classification Problems Employing Gaussian Process Priors.	NIPS	2006	DBLP BibTeX RDF
1	Gavin C. Cawley, Nicola L. C. Talbot, Mark Girolami	Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation.	NIPS	2006	DBLP BibTeX RDF
1	Robert Jenssen, Torbjørn Eltoft, Mark Girolami, Deniz Erdogmus	Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm.	NIPS	2006	DBLP BibTeX RDF
1	Simon Rogers, Mark Girolami	A Bayesian regression approach to the inference of regulatory networks from gene expression data.	Bioinformatics	2005	DBLP DOI BibTeX RDF
1	Mark Girolami, Ata Kabán	Sequential Activity Profiling: Latent Dirichlet Allocation of Markov Chains.	Data Min. Knowl. Discov.	2005	DBLP DOI BibTeX RDF	Markov chains, user profiling, mixture models
1	Simon Rogers, Mark Girolami, Colin Campbell, Rainer Breitling	The Latent Process Decomposition of cDNA Microarray Data Sets.	IEEE/ACM Trans. Comput. Biology Bioinform.	2005	DBLP DOI BibTeX RDF	cluster analysis, latent variable modeling, cDNA microarray
1	Simon Rogers, Mark Girolami, Ronald Krebs, Harald Mischak	Disease Classification from Capillary Electrophoresis: Mass Spectrometry.	ICAPR	2005	DBLP DOI BibTeX RDF
1	Leif Azzopardi, Mark Girolami, Malcolm Crowe	Probabilistic hyperspace analogue to language.	SIGIR	2005	DBLP DOI BibTeX RDF
1	Mark Girolami, Simon Rogers	Hierarchic Bayesian models for kernel learning.	ICML	2005	DBLP DOI BibTeX RDF
1	Mark Girolami, Rainer Breitling	Biologically valid linear factor models of gene expression.	Bioinformatics	2004	DBLP DOI BibTeX RDF
1	Chao He, Mark Girolami, Gary Ross	Employing optimized combinations of one-class classifiers for automated currency validation.	Pattern Recognition	2004	DBLP DOI BibTeX RDF
1	Chao He, Mark Girolami	Novelty detection employing an L2 optimal non-parametric density estimator.	Pattern Recognition Letters	2004	DBLP DOI BibTeX RDF
1	Ali Al-Shahib, Chao He, Aik Choon Tan, Mark Girolami, David Gilbert	An Assessment of Feature Relevance in Predicting Protein Function from Sequence.	IDEAL	2004	DBLP DOI BibTeX RDF
1	Leif Azzopardi, Mark Girolami, Cornelis Joost van Rijsbergen	User biased document language modelling.	SIGIR	2004	DBLP DOI BibTeX RDF	user biased, information retrieval, context, language model
1	Mark Girolami, Chao He	Probability Density Estimation from Optimally Condensed Data Samples.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	data condensation, Kernel density estimation, sparse representation, Parzen window
1	Ella Bingham, Ata Kabán, Mark Girolami	Topic Identification in Dynamical Text by Complexity Pursuit.	Neural Processing Letters	2003	DBLP DOI BibTeX RDF
1	Mark Girolami, Ata Kabán	On an equivalence between PLSI and LDA.	SIGIR	2003	DBLP DOI BibTeX RDF	model, language
1	Leif Azzopardi, Mark Girolami, Keith van Rijsbergen	Investigating the relationship between language model perplexity and IR precision-recall measures.	SIGIR	2003	DBLP DOI BibTeX RDF	language model
1	Mark Girolami, Ata Kabán	Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles.	NIPS	2003	DBLP BibTeX RDF
1	Mark Girolami	Mercer kernel-based clustering in feature space.	IEEE Transactions on Neural Networks	2002	DBLP DOI BibTeX RDF
1	Fabio Crestani, Mark Girolami	Report on the 24th European Colloquium on Information Retrieval Research.	SIGMOD Record	2002	DBLP BibTeX RDF
1	Fabio Crestani, Mark Girolami, C. J. van Rijsbergen	Report on the 24th European colloquium on information retrieval research (ECIR 2002).	SIGIR Forum	2002	DBLP DOI BibTeX RDF
1	Mark Girolami	Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem.	Neural Computation	2002	DBLP DOI BibTeX RDF
1	Mark Girolami	Latent variable models for the topographic organisation of discrete and strictly positive data.	Neurocomputing	2002	DBLP DOI BibTeX RDF
1	Ata Kabán, Mark Girolami	Fast Extraction of Semantic Features from a Latent Semantic Indexed Text Corpus.	Neural Processing Letters	2002	DBLP DOI BibTeX RDF
1	Ata Kabán, Mark Girolami	A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams.	J. Intell. Inf. Syst.	2002	DBLP DOI BibTeX RDF
1	Alexei Vinokourov, Mark Girolami	A Probabilistic Framework for the Hierarchic Organisation and Classification of Document Collections.	J. Intell. Inf. Syst.	2002	DBLP DOI BibTeX RDF
1	Ata Kabán, Peter Tiño, Mark Girolami	A General Framework for a Principled Hierarchical Visualization of Multivariate Data.	IDEAL	2002	DBLP DOI BibTeX RDF
1	Fabio Crestani, Mark Girolami, C. J. van Rijsbergen (eds.)	Advances in Information Retrieval, 24th BCS-IRSG European Colloquium on IR Research Glasgow, UK, March 25-27, 2002 Proceedings	ECIR	2002	DBLP BibTeX RDF
1	Ata Kabán, Mark Girolami	A Combined Latent Class and Trait Model for the Analysis and Visualization of Discrete Data.	IEEE Trans. Pattern Anal. Mach. Intell.	2001	DBLP DOI BibTeX RDF	Latent trait model, clustering, independent component analysis, generative model, topographic mapping, nonlinear mapping
1	Mark Girolami	The topographic organization and visualization of binary data using multivariate-Bernoulli latent variable models.	IEEE Transactions on Neural Networks	2001	DBLP DOI BibTeX RDF
1	Roman Rosipal, Mark Girolami, Leonard J. Trejo, Andrzej Cichocki	Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression.	Neural Computing and Applications	2001	DBLP DOI BibTeX RDF	De-noising, Human performance monitoring, Feature extraction, Kernel functions, Principal components, Nonlinear regression
1	Roman Rosipal, Mark Girolami	An Expectation-Maximization Approach to Nonlinear Component Analysis.	Neural Computation	2001	DBLP DOI BibTeX RDF
1	Mark Girolami	A Variational Method for Learning Sparse and Overcomplete Representations.	Neural Computation	2001	DBLP DOI BibTeX RDF
1	Ella Bingham, Ata Kabán, Mark Girolami	Finding Topics in Dynamical Text: Application to Chat Line Discussions.	WWW Posters	2001	DBLP BibTeX RDF
1	Ata Kabán, Mark Girolami	Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents.	ICPR	2000	DBLP DOI BibTeX RDF
1	Alexei Vinokourov, Mark Girolami	Probabilistic Hierarchical Clustering Method for Organizing Collections of Text Documents.	ICPR	2000	DBLP DOI BibTeX RDF
1	Mark Girolami	A generative model for sparse discrete binary data with non-uniform categorical priors.	ESANN	2000	DBLP BibTeX RDF
1	Mark Girolami, Alexei Vinokourov, Ata Kabán	The Organization and Visualization of Document Corpora: A Probabilistic Approach. (PDF / PS)	DEXA Workshops	2000	DBLP DOI BibTeX RDF	document corpora visualisation, generic probabilistic framework, unsupervised organisation, probabilistic hierarchical clustering, high-dimensional data collections, expectation maximisation algorithm, hierarchical probabilistic mixture methodology, asymmetric models, symmetric models, topographic relations, similar documents, latent trait model, vector space document representations, 2D grid, document handling, probabilistic approach, latent class models, text data, multinomial distribution, binomial distributions, document collections
1	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	1999	DBLP DOI BibTeX RDF
1	Mark Girolami, Andrzej Cichocki, Shun-ichi Amari	A common neural-network model for unsupervised exploratory data analysis and independent component analysis.	IEEE Transactions on Neural Networks	1998	DBLP DOI BibTeX RDF
1	Mark Girolami	An Alternative Perspective on Adaptive Independent Component Analysis Algorithms.	Neural Computation	1998	DBLP DOI BibTeX RDF
1	Mark Girolami	A nonlinear model of the binaural cocktail party effect.	Neurocomputing	1998	DBLP DOI BibTeX RDF
1	Mark Girolami	The Latent Variable Data Model for Exploratory Data Analysis and Visualisation: A Generalisation of the Nonlinear Infomax Algorithm.	Neural Processing Letters	1998	DBLP DOI BibTeX RDF
1	Mark Girolami, Colin Fyfe	Stochastic ICA Contrast Maximisation Using Oja's Nonlinear PCA Algorithm.	Int. J. Neural Syst.	1997	DBLP DOI BibTeX RDF
1	Mark Girolami, Colin Fyfe	An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problem.	Neural Networks	1997	DBLP DOI BibTeX RDF
1	Mark Girolami, Colin Fyfe	Independence is far from normal.	ESANN	1997	DBLP BibTeX RDF
1	Mark Girolami, Colin Fyfe	A Temporal Model of Linear Anti-Hebbian Learning.	Neural Processing Letters	1996	DBLP DOI BibTeX RDF

Publications of Mark A. Girolami Mark Girolami ( http://dblp.L3S.de/Authors/Mark_A._Girolami )