| Support vector machines: hype or hallelujah? KP Bennett, C Campbell ACM SIGKDD explorations newsletter 2 (2), 1-13, 2000 | 1089 | 2000 |
| Controlling the sensitivity of support vector machines K Veropoulos, C Campbell, N Cristianini Proceedings of the international joint conference on AI 55, 60, 1999 | 1043 | 1999 |
| An integrative approach to predicting the functional effects of non-coding and coding sequence variation HA Shihab, MF Rogers, J Gough, M Mort, DN Cooper, INM Day, TR Gaunt, ... Bioinformatics 31 (10), 1536-1543, 2015 | 563 | 2015 |
| Query learning with large margin classifiers C Campbell, N Cristianini, A Smola ICML 20 (0), 0, 2000 | 520 | 2000 |
| The kernel-adatron algorithm: a fast and simple learning procedure for support vector machines TT Frie, N Cristianini, C Campbell Machine learning: proceedings of the fifteenth international conference …, 1998 | 470 | 1998 |
| Learning with support vector machines C Campbell, Y Ying Synthesis lectures on artificial intelligence and machine learning 5 (1), 1-95, 2011 | 394 | 2011 |
| Kernel methods: a survey of current techniques C Campbell Neurocomputing 48 (1-4), 63-84, 2002 | 353 | 2002 |
| Estimating dataset size requirements for classifying DNA microarray data S Mukherjee, P Tamayo, S Rogers, R Rifkin, A Engle, C Campbell, ... Journal of computational biology 10 (2), 119-142, 2003 | 344 | 2003 |
| Bayes point machines R Herbrich, T Graepel, C Campbell Journal of Machine Learning Research 1 (Aug), 245-279, 2001 | 322 | 2001 |
| A linear programming approach to novelty detection C Campbell, K Bennett Advances in neural information processing systems 13, 2000 | 293 | 2000 |
| Dynamically adapting kernels in support vector machines N Cristianini, C Campbell, J Shawe-Taylor Advances in neural information processing systems 11, 1998 | 263 | 1998 |
| N= 2, D= 10 non-chiral supergravity and its spontaneous compactification ICG Campbell, PC West Nuclear Physics B 243 (1), 112-124, 1984 | 255 | 1984 |
| FATHMM-XF: accurate prediction of pathogenic point mutations via extended features MF Rogers, HA Shihab, M Mort, DN Cooper, TR Gaunt, C Campbell Bioinformatics 34 (3), 511-513, 2018 | 253 | 2018 |
| Bayesian automatic relevance determination algorithms for classifying gene expression data Y Li, C Campbell, M Tipping Bioinformatics 18 (10), 1332-1339, 2002 | 224 | 2002 |
| Nine loci for ocular axial length identified through genome-wide association studies, including shared loci with refractive error CY Cheng, M Schache, MK Ikram, TL Young, JA Guggenheim, V Vitart, ... The American Journal of Human Genetics 93 (2), 264-277, 2013 | 159 | 2013 |
| An introduction to kernel methods C Campbell Studies in Fuzziness and Soft Computing 66, 155-192, 2001 | 147 | 2001 |
| Expression analysis onto microarrays of randomly selected cDNA clones highlights HOXB13 as a marker of human prostate cancer S Edwards, C Campbell, P Flohr, J Shipley, I Giddings, R Te-Poele, ... British journal of cancer 92 (2), 376-381, 2005 | 141 | 2005 |
| Sparse metric learning via smooth optimization Y Ying, K Huang, C Campbell Advances in neural information processing systems 22, 2009 | 138 | 2009 |
| Genome-wide screening for complete genetic loss in prostate cancer by comparative hybridization onto cDNA microarrays J Clark, S Edwards, A Feber, P Flohr, M John, I Giddings, S Crossland, ... Oncogene 22 (8), 1247-1252, 2003 | 120 | 2003 |
| The latent process decomposition of cDNA microarray data sets S Rogers, M Girolami, C Campbell, R Breitling IEEE/ACM transactions on computational biology and bioinformatics 2 (2), 143-156, 2005 | 119 | 2005 |
Tom GauntMRC Integrative Epidemiology Unit, University of Bristol在 bristol.ac.uk 的电子邮件经过验证
