Search results for "Stephen J. Roberts"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Michael A. Osborne, Roman Garnett, Stephen J. Roberts, Christopher Hart, Suzanne Aigrain, Neale Gibson	Bayesian Quadrature for Ratios.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan	Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing.	Neural Networks	2011	DBLP DOI BibTeX RDF
1	Roman Garnett, Michael A. Osborne, Steven Reece, Alex Rogers, Stephen J. Roberts	Sequential Bayesian Prediction in the Presence of Changepoints and Faults.	Comput. J.	2010	DBLP DOI BibTeX RDF
1	Seung Min Lee, Stephen J. Roberts	Sequential Dynamic Classification Using Latent Variable Models.	Comput. J.	2010	DBLP DOI BibTeX RDF
1	D. R. Lowne, Stephen J. Roberts, Roman Garnett	Sequential non-stationary dynamic classification with sparse feedback.	Pattern Recognition	2010	DBLP DOI BibTeX RDF
1	Michael A. Osborne, Roman Garnett, Stephen J. Roberts	Active Data Selection for Sensor Networks with Faults and Changepoints.	AINA	2010	DBLP DOI BibTeX RDF	active data selection, changepoint detection, sensor networks, fault detection, Gaussian processes, time-series prediction, Bayesian methods, sensor selection
1	Roman Garnett, Michael A. Osborne, Stephen J. Roberts	Bayesian optimization for sensor set selection.	IPSN	2010	DBLP DOI BibTeX RDF	sampling design, spatial learning, sensor networks, global optimization, experimental design, Gaussian processes, Bayesian methods, sensor selection
1	Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan	Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling.	Neural Networks	2009	DBLP DOI BibTeX RDF
1	Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts, Andrew Zisserman	Bayesian Methods for Image Super-Resolution.	Comput. J.	2009	DBLP DOI BibTeX RDF
1	Chun Sing Louis Tsui, John Q. Gan, Stephen J. Roberts	A self-paced brain-computer interface for controlling a robot simulator: an online event labelling paradigm and an extended Kalman filter based algorithm for online training.	Med. Biol. Engineering and Computing	2009	DBLP DOI BibTeX RDF
1	Roman Garnett, Michael A. Osborne, Stephen J. Roberts	Sequential Bayesian prediction in the presence of changepoints.	ICML	2009	DBLP DOI BibTeX RDF
1	Iead Rezek, David S. Leslie, Steven Reece, Stephen J. Roberts, Alex Rogers, Rajdeep K. Dash, Nicholas R. Jennings	On Similarities between Inference in Game Theory and Machine Learning.	J. Artif. Intell. Res. (JAIR)	2008	DBLP DOI BibTeX RDF
1	Hyoungjoo Lee, Stephen J. Roberts	On-line novelty detection using the Kalman filter and extreme value theory.	ICPR	2008	DBLP DOI BibTeX RDF
1	Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan	Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing.	IDEAL	2008	DBLP DOI BibTeX RDF	Informative Observation, Logistic Classification, Truncated Filtering, Extended Kalman Filter
1	Michael A. Osborne, Stephen J. Roberts, Alex Rogers, Sarvapali D. Ramchurn, Nicholas R. Jennings	Towards Real-Time Information Processing of Sensor Network Data Using Computationally Efficient Multi-output Gaussian Processes.	IPSN	2008	DBLP DOI BibTeX RDF	sensor network, Gaussian processes, information processing
1	Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts, Andrew Zisserman	Overcoming Registration Uncertainty in Image Super-Resolution: Maximize or Marginalize?	EURASIP J. Adv. Sig. Proc.	2007	DBLP DOI BibTeX RDF
1	Lyndsey C. Pickup, Stephen J. Roberts, Andrew Zisserman	Optimizing and Learning for Super-resolution.	BMVC	2006	DBLP BibTeX RDF
1	Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts, Andrew Zisserman	Bayesian Image Super-resolution, Continued.	NIPS	2006	DBLP BibTeX RDF
1	Sach Mukherjee, Stephen J. Roberts	A Theoretical Analysis of the Selection of Differentially Expressed Genes.	J. Bioinformatics and Computational Biology	2005	DBLP DOI BibTeX RDF
1	Sach Mukherjee, Stephen J. Roberts, Mark J. van der Laan	Data-adaptive test statistics for microarray data.	ECCB/JBI	2005	DBLP DOI BibTeX RDF
1	Iead Rezek, Stephen J. Roberts, Ellini Siva, R. Conradt	Depth of anaesthesia assessment with generative polyspectral models.	ICMLA	2005	DBLP DOI BibTeX RDF
1	Sach Mukherjee, Stephen J. Roberts	Probabilistic Consistency Analysis for Gene Selection.	CSB	2004	DBLP DOI BibTeX RDF
1	Sach Mukherjee, Stephen J. Roberts	A Theoretical Analysis of Gene Selection.	CSB	2004	DBLP DOI BibTeX RDF
1	S. N. Mukherjee, Stephen J. Roberts, Peter Sykacek, Sarah J. Gurr	Gene ranking using bootstrapped P-values.	SIGKDD Explorations	2003	DBLP DOI BibTeX RDF	microarrays, bootstrap, t-test, differential expression
1	Lyndsey C. Pickup, Stephen J. Roberts, Andrew Zisserman	A Sampled Texture Prior for Image Super-Resolution.	NIPS	2003	DBLP BibTeX RDF
1	Nicholas P. Hughes, Lionel Tarassenko, Stephen J. Roberts	Markov Models for Automated ECG Interval Analysis.	NIPS	2003	DBLP BibTeX RDF
1	Stephen J. Roberts, Will D. Penny	Variational Bayes for generalized autoregressive models.	IEEE Transactions on Signal Processing	2002	DBLP DOI BibTeX RDF
1	Iead Rezek, Michael Gibbs, Stephen J. Roberts	Maximum a Posteriori Estimation of Coupled Hidden Markov Models.	VLSI Signal Processing	2002	DBLP DOI BibTeX RDF	expectation maximisation, biomedical signal analysis, maximum a posteriori, coupled hidden Markov models
1	Jens Rittscher, Andrew Blake, Stephen J. Roberts	Towards the automatic analysis of complex human body motions.	Image Vision Comput.	2002	DBLP DOI BibTeX RDF
1	Peter Sykacek, Stephen J. Roberts	Adaptive Classification by Variational Kalman Filtering.	NIPS	2002	DBLP BibTeX RDF
1	Stephen J. Roberts, Christopher Holmes, Dave Denison	Minimum-Entropy Data Partitioning Using Reversible Jump Markov Chain Monte Carlo.	IEEE Trans. Pattern Anal. Mach. Intell.	2001	DBLP DOI BibTeX RDF	Unsupervised data analysis, reversible-jump Markov Chain Monte Carlo, mixture models, Bayesian analysis, number of clusters
1	Peter Sykacek, Stephen J. Roberts, Iead Rezek, Arthur Flexer, Georg Dorffner	A Probabilistic Approach to High-Resolution Sleep Analysis.	ICANN	2001	DBLP DOI BibTeX RDF
1	Stephen J. Roberts, Christopher Holmes, Dave Denison	Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte Carlo.	ICANN	2001	DBLP DOI BibTeX RDF
1	Stephen J. Roberts, William D. Penny	Mixtures of Independent Component Analysers.	ICANN	2001	DBLP DOI BibTeX RDF
1	Peter Sykacek, Stephen J. Roberts	Bayesian time series classification.	NIPS	2001	DBLP BibTeX RDF
1	Stephen J. Roberts, Richard M. Everson, Iead Rezek	Maximum certainty data partitioning.	Pattern Recognition	2000	DBLP DOI BibTeX RDF
1	Dirk Husmeier, William D. Penny, Stephen J. Roberts	An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers.	Neural Networks	1999	DBLP DOI BibTeX RDF
1	William D. Penny, Stephen J. Roberts	Bayesian neural networks for classification: how useful is the evidence framework?	Neural Networks	1999	DBLP DOI BibTeX RDF
1	Richard M. Everson, Stephen J. Roberts	Independent Component Analysis: A Flexible Nonlinearity and Decorrelating Manifold Approach.	Neural Computation	1999	DBLP DOI BibTeX RDF
1	Stephen J. Roberts, Dirk Husmeier, Iead Rezek, William D. Penny	Bayesian Approaches to Gaussian Mixture Modeling.	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	unsupervised learning, Cluster analysis, Gaussian mixture models, Bayesian methods
1	Stephen J. Roberts	Parametric and non-parametric unsupervised cluster analysis.	Pattern Recognition	1997	DBLP DOI BibTeX RDF
1	Stephen J. Roberts, Lionel Tarassenko	A Probabilistic Resource Allocating Network for Novelty Detection.	Neural Computation	1994	DBLP DOI BibTeX RDF

Publications of "Stephen J. Roberts" ( http://dblp.L3S.de/Authors/Stephen_J._Roberts )