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David C. Hoyle
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2010 – 2019
- 2016
- [i1]David C. Hoyle, Andrew Brass:
Statistical mechanics of ontology based annotations. CoRR abs/1605.05402 (2016) - 2011
- [j3]David C. Hoyle:
Accuracy of Pseudo-Inverse Covariance Learning - A Random Matrix Theory Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 33(7): 1470-1481 (2011)
2000 – 2009
- 2009
- [c6]David C. Hoyle, Mark Delderfield, Lee Kitching, Gareth Smith, Peter Crowther, Iain E. Buchan:
Shared genomics: A platform for emerging interpretation of genetic epidemiology. CBMS 2009: 1-6 - [c5]David C. Hoyle, Mark Delderfield, Lee Kitching, Gareth Smith, Iain E. Buchan:
Shared Genomics: High Performance Computing for distributed insights in genomic medical research. HealthGrid 2009: 232-241 - 2008
- [c4]Mark Delderfield, Lee Kitching, Gareth Smith, David C. Hoyle, Iain E. Buchan:
Shared Genomics: Accessible High Performance Computing for Genomic Medical Research. eScience 2008: 404-405 - 2006
- [j2]Harish Bhaskar, David C. Hoyle, Peng Wang:
Machine learning in bioinformatics: A brief survey and recommendations for practitioners. Comput. Biol. Medicine 36(10): 1104-1125 (2006) - 2005
- [c3]J. Dylan Spalding, David C. Hoyle:
Accuracy of String Kernels for Protein Sequence Classification. ICAPR (1) 2005: 454-460 - 2004
- [c2]David C. Hoyle, Magnus Rattray:
A Statistical Mechanics Analysis of Gram Matrix Eigenvalue Spectra. COLT 2004: 579-593 - 2003
- [c1]David C. Hoyle, Magnus Rattray:
Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA. NIPS 2003: 1181-1188 - 2002
- [j1]David C. Hoyle, Magnus Rattray, Ray Jupp, Andy Brass:
Making sense of microarray data distributions. Bioinform. 18(4): 576-584 (2002)
Coauthor Index
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