Colin Campbell
Colin Campbell
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Support vector machines: hype or hallelujah?
KP Bennett, C Campbell
ACM SIGKDD explorations newsletter 2 (2), 1-13, 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
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
Query learning with large margin classifiers
C Campbell, N Cristianini, A Smola
ICML 20 (0), 0, 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
Learning with support vector machines
C Campbell, Y Ying
Springer Nature, 2022
Kernel methods: a survey of current techniques
C Campbell
Neurocomputing 48 (1-4), 63-84, 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
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
Bayes point machines
R Herbrich, T Graepel, C Campbell
Journal of Machine Learning Research 1 (Aug), 245-279, 2001
A linear programming approach to novelty detection
C Campbell, K Bennett
Advances in neural information processing systems 13, 2000
Dynamically adapting kernels in support vector machines
N Cristianini, C Campbell, J Shawe-Taylor
Advances in neural information processing systems 11, 1998
N= 2, D= 10 non-chiral supergravity and its spontaneous compactification
ICG Campbell, PC West
Nuclear Physics B 243 (1), 112-124, 1984
Bayesian automatic relevance determination algorithms for classifying gene expression data
Y Li, C Campbell, M Tipping
Bioinformatics 18 (10), 1332-1339, 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
An introduction to kernel methods
C Campbell
Studies in Fuzziness and Soft Computing 66, 155-192, 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
Sparse metric learning via smooth optimization
Y Ying, K Huang, C Campbell
Advances in neural information processing systems 22, 2009
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
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
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