Colin Campbell

	2011
45		Colin Campbell, Yiming Ying: Learning with Support Vector Machines Morgan & Claypool Publishers 2011
44		Kaizhu Huang, Yiming Ying, Colin Campbell: Generalized sparse metric learning with relative comparisons. Knowl. Inf. Syst. 28(1): 25-45 (2011)
	2010
43		Yiming Ying, Colin Campbell: Rademacher Chaos Complexities for Learning the Kernel Problem. Neural Computation 22(11): 2858-2886 (2010)
	2009
42		Yiming Ying, Colin Campbell: Generalization Bounds for Learning the Kernel Problem. COLT 2009
41		Peng Li, Yiming Ying, Colin Campbell: A Variational Approach to Semi-Supervised Clustering. ESANN 2009
40		Kaizhu Huang, Yiming Ying, Colin Campbell: GSML: A Unified Framework for Sparse Metric Learning. ICDM 2009: 189-198
39		Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell: Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. IJCNN 2009: 1272-1277
38		Yiming Ying, Colin Campbell, Mark Girolami: Analysis of SVM with Indefinite Kernels. NIPS 2009: 2205-2213
37		Yiming Ying, Kaizhu Huang, Colin Campbell: Sparse Metric Learning via Smooth Optimization. NIPS 2009: 2214-2222
36		Yiming Ying, Colin Campbell, Theodoros Damoulas, Mark A. Girolami: Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm. PRIB 2009: 427-438
35		Yiming Ying, Kaizhu Huang, Colin Campbell: Enhanced protein fold recognition through a novel data integration approach. BMC Bioinformatics 10: 267 (2009)
	2008
34		Yiming Ying, Colin Campbell: Learning Coordinate Gradients with Multi-Task Kernels. COLT 2008: 217-228
33		Margus Veanes, Colin Campbell, Wolfgang Grieskamp, Wolfram Schulte, Nikolai Tillmann, Lev Nachmanson: Model-Based Testing of Object-Oriented Reactive Systems with Spec Explorer. Formal Methods and Testing 2008: 39-76
32		Theodoros Damoulas, Yiming Ying, Mark A. Girolami, Colin Campbell: Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins. ICMLA 2008: 577-582
	2007
31		Margus Veanes, Juhan P. Ernits, Colin Campbell: State Isomorphism in Model Programs with Abstract Data Structures. FORTE 2007: 112-127
30		Margus Veanes, Colin Campbell, Wolfram Schulte: Composition of Model Programs. FORTE 2007: 128-142
	2006
29		Margus Veanes, Pritam Roy, Colin Campbell: Online Testing with Reinforcement Learning. FATES/RV 2006: 240-253
	2005
28		Colin Campbell, Margus Veanes: State Exploration with Multiple State Groupings. Abstract State Machines 2005: 119-130
27		Margus Veanes, Colin Campbell, Wolfram Schulte, Nikolai Tillmann: Online testing with model programs. ESEC/SIGSOFT FSE 2005: 273-282
26		Colin Campbell, Wolfgang Grieskamp, Lev Nachmanson, Wolfram Schulte, Nikolai Tillmann, Margus Veanes: Testing Concurrent Object-Oriented Systems with Spec Explorer. FM 2005: 542-547
25		Wolfgang Grieskamp, Nikolai Tillmann, Colin Campbell, Wolfram Schulte, Margus Veanes: Action Machines - Towards a Framework for Model Composition, Exploration and Conformance Testing Based on Symbolic Computation. QSIC 2005: 72-82
24		Colin Campbell, Margus Veanes, Jiale Huo, Alexandre Petrenko: Multiplexing of Partially Ordered Events. TestCom 2005: 97-110
23		Simon Rogers, Mark Girolami, Colin Campbell, Rainer Breitling: The Latent Process Decomposition of cDNA Microarray Data Sets. IEEE/ACM Trans. Comput. Biology Bioinform. 2(2): 143-156 (2005)
22		Colin Campbell, Gautam Ray, Waleed A. Muhanna: Search and Collusion in Electronic Markets. Management Science 51(3): 497-507 (2005)
	2003
21		Colin Campbell, Pierre M. Fiorini: Simulation of Fault-Tolerant Parallel Systems Design Paradigms for Extensible Solutions. PDPTA 2003: 1359-1362
20		Colin Campbell: New Analytical Techniques for the Interpretation of Microarray Data. Bioinformatics 19(9): 1045 (2003)
19		Sayan Mukherjee, Pablo Tamayo, Simon Rogers, Ryan M. Rifkin, Anna Engle, Colin Campbell, Todd R. Golub, Jill P. Mesirov: Estimating Dataset Size Requirements for Classifying DNA Microarray Data. Journal of Computational Biology 10(2): 119-142 (2003)
18		Colin Campbell, Chih-Jen Lin, S. Sathiya Keerthi, V. David Sánchez A.: Special issue on support vector machines. Neurocomputing 55(1-2): 1-3 (2003)
	2002
17		Nello Cristianini, Colin Campbell, Chris Burges: Editorial: Kernel Methods: Current Research and Future Directions. Machine Learning 46(1-3): 5-9 (2002)
16		Colin Campbell: Kernel methods: a survey of current techniques. Neurocomputing 48(1-4): 63-84 (2002)
	2001
15		Ralf Herbrich, Thore Graepel, Colin Campbell: Bayes Point Machines. Journal of Machine Learning Research 1: 245-279 (2001)
	2000
14		Colin Campbell: Algorithmic approaches to training Support Vector Machines: a survey. ESANN 2000: 27-36
13		Ralf Herbrich, Thore Graepel, Colin Campbell: Robust Bayes Point Machines. ESANN 2000: 49-54
12		Colin Campbell, Nello Cristianini, Alex J. Smola: Query Learning with Large Margin Classifiers. ICML 2000: 111-118
11		Colin Campbell, Kristin P. Bennett: A Linear Programming Approach to Novelty Detection. NIPS 2000: 395-401
10		Kristin P. Bennett, Colin Campbell: Support Vector Machines: Hype or Hallelujah? SIGKDD Explorations 2(2): 1-13 (2000)
	1999
9		Nello Cristianini, Colin Campbell, John Shawe-Taylor: A multiplicative updating algorithm for training support vector machine. ESANN 1999: 189-194
	1998
8		Thilo-Thomas Frieß, Nello Cristianini, Colin Campbell: The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines. ICML 1998: 188-196
7		Nello Cristianini, Colin Campbell, John Shawe-Taylor: Dynamically Adapting Kernels in Support Vector Machines. NIPS 1998: 204-210
6		Colin Campbell, Daniel P. Romero: Identification and characterization of the RAD51 gene from the ciliate Tetrahymena thermophila. Nucleic Acids Research 26(13): 3165-3172 (1998)
	1997
5		Alvin J. Surkan, Colin Campbell: A constructive algorithm for neural networks that generalize. APL 1997: 35-42
	1995
4		Colin Campbell, Conrado J. Pérez Vicente: Constructing feed-forward neural networks for binary classification tasks. ESANN 1995
3		Colin Campbell, Conrado J. Pérez Vicente: The target switch algorithm: a constructive learning procedure for feed-forward neural networks. Neural Computation 7(6): 1245-1264 (1995)
	1993
2		Colin Campbell: Neural Networks with Sign-Constrained Weights. Neural Computing and Applications 1(3): 188-193 (1993)
	1991
1		Colin Campbell: Dynamic Thresholds and Attractor Neural Networks. IWANN 1991: 189-195

Coauthor Index

1	V. David Sánchez A.	[18]
2	Kristin P. Bennett	[10] [11]
3	Rainer Breitling	[23]
4	Christopher J. C. Burges (Chris Burges)	[17]
5	Nello Cristianini	[7] [8] [9] [12] [17]
6	Theodoros Damoulas	[32] [36]
7	Anna Engle	[19]
8	Juhan P. Ernits	[31]
9	Pierre M. Fiorini	[21]
10	Thilo-Thomas Frieß	[8]
11	Mark A. Girolami (Mark Girolami)	[23] [32] [36] [38]
12	Todd R. Golub	[19]
13	Thore Graepel	[13] [15]
14	Wolfgang Grieskamp	[25] [26] [33]
15	Ralf Herbrich	[13] [15]
16	Kaizhu Huang	[35] [37] [39] [40] [44]
17	Jiale Huo	[24]
18	S. Sathiya Keerthi (Sathiya Keerthi Selvaraj)	[18]
19	Irwin King	[39]
20	Peng Li	[41]
21	Chih-Jen Lin	[18]
22	Michael R. Lyu	[39]
23	Jill P. Mesirov	[19]
24	Waleed A. Muhanna	[22]
25	Sayan Mukherjee	[19]
26	Lev Nachmanson	[26] [33]
27	Alexandre Petrenko	[24]
28	Gautam Ray	[22]
29	Ryan M. Rifkin	[19]
30	Simon Rogers	[19] [23]
31	Daniel P. Romero	[6]
32	Pritam Roy	[29]
33	Wolfram Schulte	[25] [26] [27] [30] [33]
34	John Shawe-Taylor	[7] [9]
35	Alexander J. Smola (Alex J. Smola)	[12]
36	Alvin J. Surkan	[5]
37	Pablo Tamayo	[19]
38	Nikolai Tillmann	[25] [26] [27] [33]
39	Margus Veanes	[24] [25] [26] [27] [28] [29] [30] [31] [33]
40	Conrado J. Pérez Vicente	[3] [4]
41	Zenglin Xu	[39]
42	Yiming Ying	[32] [34] [35] [36] [37] [38] [40] [41] [42] [43] [44] [45]

Colors in the list of coauthors

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