David C. Hoyle

According to our database, David C. Hoyle authored at least 10 papers between 2002 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

Statistical mechanics of ontology based annotations.

David C. Hoyle, Andrew Brass

CoRR, 2016

2011

Accuracy of Pseudo-Inverse Covariance Learning - A Random Matrix Theory Analysis.

David C. Hoyle

IEEE Trans. Pattern Anal. Mach. Intell., 2011

2009

Shared Genomics: High Performance Computing for distributed insights in genomic medical research.

David C. Hoyle, Mark Delderfield, Lee Kitching, Gareth Smith, Iain E. Buchan

Proceedings of the Healthgrid Research, Innovation and Business Case - Proceedings of HealthGrid 2009, Berlin, Germany, 29 June, 2009

Shared genomics: A platform for emerging interpretation of genetic epidemiology.

David C. Hoyle, Mark Delderfield, Lee Kitching, Gareth Smith, Peter Crowther, Iain E. Buchan

Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009

2008

Shared Genomics: Accessible High Performance Computing for Genomic Medical Research.

Mark Delderfield, Lee Kitching, Gareth Smith, David C. Hoyle, Iain E. Buchan

Proceedings of the Fourth International Conference on e-Science, 2008

2006

Machine learning in bioinformatics: A brief survey and recommendations for practitioners.

Harish Bhaskar, David C. Hoyle, Peng Wang

Comput. Biol. Medicine, 2006

2005

Accuracy of String Kernels for Protein Sequence Classification.

J. Dylan Spalding, David C. Hoyle

Proceedings of the Pattern Recognition and Data Mining, 2005

2004

A Statistical Mechanics Analysis of Gram Matrix Eigenvalue Spectra.

David C. Hoyle, Magnus Rattray

Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004

2003

Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA.

David C. Hoyle, Magnus Rattray

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

Making sense of microarray data distributions.

David C. Hoyle, Magnus Rattray, Ray Jupp, Andy Brass

Bioinform., 2002