Nello Cristianini

	2009
50		Nello Cristianini: Are We There Yet?. ECML/PKDD (1) 2009: 2
49		Ilias N. Flaounas, Marco Turchi, Tijl De Bie, Nello Cristianini: Inference and Validation of Networks. ECML/PKDD (1) 2009: 344-358
48		Marco Turchi, Ilias N. Flaounas, Omar Ali, Tijl De Bie, Tristan Snowsill, Nello Cristianini: Found in Translation. ECML/PKDD (2) 2009: 746-749
47		Marco Turchi, Tijl De Bie, Nello Cristianini: An Intelligent Agent That Autonomously Learns How to Translate. IAT 2009: 12-19
46		Ilias Flaounas, Marco Turchi, Nello Cristianini: Detecting Macro-patterns in the European Mediasphere. Web Intelligence/IAT Workshops 2009: 527-530
	2008
45		Nello Cristianini, Elisa Ricci: Support Vector Machines. Encyclopedia of Algorithms 2008
	2007
44		Patricia Francis-Lyon, Nello Cristianini, Stephen R. Holbrook: Terminator Detection by Support Vector Machine Utilizing a Stochastic Context-Free Grammar. CIBCB 2007: 170-177
43		Elisa Ricci, Tijl De Bie, Nello Cristianini: Discriminative Sequence Labeling by Z-Score Optimization. ECML 2007: 274-285
42		Elisa Ricci, Tijl De Bie, Nello Cristianini: Learning to Align: A Statistical Approach. IDA 2007: 25-36
41		Arianna Gallo, Tijl De Bie, Nello Cristianini: MINI: Mining Informative Non-redundant Itemsets. PKDD 2007: 438-445
	2006
40		Tijl De Bie, Nello Cristianini, Jeffery P. Demuth, Matthew W. Hahn: CAFE: a computational tool for the study of gene family evolution. Bioinformatics 22(10): 1269-1271 (2006)
39		Tijl De Bie, Nello Cristianini: Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem. Journal of Machine Learning Research 7: 1409-1436 (2006)
	2005
38		Tijl De Bie, Patrick Monsieurs, Kristof Engelen, Bart De Moor, Nello Cristianini, Kathleen Marchal: Discovering Transcriptional Modules from Motif, Chip-Chip and Microarray Data. Pacific Symposium on Biocomputing 2005
37		John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola: On the eigenspectrum of the gram matrix and the generalization error of kernel-PCA. IEEE Transactions on Information Theory 51(7): 2510-2522 (2005)
	2004
36		Gert R. G. Lanckriet, Minghua Deng, Nello Cristianini, Michael I. Jordan, William Stafford Noble: Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast. Pacific Symposium on Biocomputing 2004: 300-311
35		Tijl De Bie, Nello Cristianini: Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data. SSPR/SPR 2004: 16-29
34		Gert R. G. Lanckriet, Tijl De Bie, Nello Cristianini, Michael I. Jordan, William Stafford Noble: A statistical framework for genomic data fusion. Bioinformatics 20(16): 2626-2635 (2004)
33		Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan: Learning the Kernel Matrix with Semidefinite Programming. Journal of Machine Learning Research 5: 27-72 (2004)
	2003
32		Tijl De Bie, Michinari Momma, Nello Cristianini: Efficiently Learning the Metric with Side-Information. ALT 2003: 175-189
31		Nello Cristianini: Kernel Methods for Pattern Analysis. ICTAI 2003
30		Tijl De Bie, Nello Cristianini: Convex Methods for Transduction. NIPS 2003
	2002
29		John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola: On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum. ALT 2002: 23-40
28		John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola: On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum. Discovery Science 2002: 12
27		Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan: Learning the Kernel Matrix with Semi-Definite Programming. ICML 2002: 323-330
26		Alexei Vinokourov, John Shawe-Taylor, Nello Cristianini: Inferring a Semantic Representation of Text via Cross-Language Correlation Analysis. NIPS 2002: 1473-1480
25		Jaz S. Kandola, John Shawe-Taylor, Nello Cristianini: Learning Semantic Similarity. NIPS 2002: 657-664
24		Nello Cristianini, Bernhard Schölkopf: Support Vector Machines and Kernel Methods: The New Generation of Learning Machines. AI Magazine 23(3): 31-42 (2002)
23		John Shawe-Taylor, Nello Cristianini: On the generalization of soft margin algorithms. IEEE Transactions on Information Theory 48(10): 2721-2735 (2002)
22		Nello Cristianini, John Shawe-Taylor, Huma Lodhi: Latent Semantic Kernels. J. Intell. Inf. Syst. 18(2-3): 127-152 (2002)
21		Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins: Text Classification using String Kernels. Journal of Machine Learning Research 2: 419-444 (2002)
20		Nello Cristianini, Colin Campbell, Chris Burges: Editorial: Kernel Methods: Current Research and Future Directions. Machine Learning 46(1-3): 5-9 (2002)
	2001
19		Thorsten Joachims, Nello Cristianini, John Shawe-Taylor: Composite Kernels for Hypertext Categorisation. ICML 2001: 250-257
18		Nello Cristianini, John Shawe-Taylor, Huma Lodhi: Latent Semantic Kernels. ICML 2001: 66-73
17		Nello Cristianini, John Shawe-Taylor, André Elisseeff, Jaz S. Kandola: On Kernel-Target Alignment. NIPS 2001: 367-373
16		John Shawe-Taylor, Nello Cristianini, Jaz S. Kandola: On the Concentration of Spectral Properties. NIPS 2001: 511-517
15		Nello Cristianini, John Shawe-Taylor, Jaz S. Kandola: Spectral Kernel Methods for Clustering. NIPS 2001: 649-655
	2000
14		Colin Campbell, Nello Cristianini, Alex J. Smola: Query Learning with Large Margin Classifiers. ICML 2000: 111-118
13		Huma Lodhi, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins: Text Classification using String Kernels. NIPS 2000: 563-569
12		Terrence S. Furey, Nello Cristianini, Nigel Duffy, David W. Bednarski, Michèl Schummer, David Haussler: Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics 16(10): 906-914 (2000)
11		Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor, Donghui Wu: Enlarging the Margins in Perceptron Decision Trees. Machine Learning 41(3): 295-313 (2000)
	1999
10		John Shawe-Taylor, Nello Cristianini: Further Results on the Margin Distribution. COLT 1999: 278-285
9		Nello Cristianini, Colin Campbell, John Shawe-Taylor: A multiplicative updating algorithm for training support vector machine. ESANN 1999: 189-194
8		John Shawe-Taylor, Nello Cristianini: Margin Distribution Bounds on Generalization. EuroCOLT 1999: 263-273
7		John Shawe-Taylor, Nello Cristianini: Generalization Performance of Classifiers in Terms of Observed Covering Numbers. EuroCOLT 1999: 274-284
6		Donghui Wu, Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor: Large Margin Trees for Induction and Transduction. ICML 1999: 474-483
5		John C. Platt, Nello Cristianini, John Shawe-Taylor: Large Margin DAGs for Multiclass Classification. NIPS 1999: 547-553
	1998
4		Nello Cristianini, John Shawe-Taylor, Peter Sykacek: Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space. ICML 1998: 109-117
3		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
2		Nello Cristianini, Colin Campbell, John Shawe-Taylor: Dynamically Adapting Kernels in Support Vector Machines. NIPS 1998: 204-210
	1997
1		John Shawe-Taylor, Nello Cristianini: Data-Dependent Structural Risk Minimization for Perceptron Decision Trees. NIPS 1997

Coauthor Index

1	Omar Ali	[48]
2	Peter L. Bartlett	[27] [33]
3	David W. Bednarski	[12]
4	Kristin P. Bennett	[6] [11]
5	Tijl De Bie	[30] [32] [34] [35] [38] [39] [40] [41] [42] [43] [47] [48] [49]
6	Christopher J. C. Burges (Chris Burges)	[20]
7	Colin Campbell	[2] [3] [9] [14] [20]
8	Jeffery P. Demuth	[40]
9	Minghua Deng	[36]
10	Nigel Duffy	[12]
11	André Elisseeff	[17]
12	Kristof Engelen	[38]
13	Ilias Flaounas	[46]
14	Ilias N. Flaounas	[48] [49]
15	Patricia Francis-Lyon	[44]
16	Thilo-Thomas Frieß	[3]
17	Terrence S. Furey	[12]
18	Arianna Gallo	[41]
19	Laurent El Ghaoui	[27] [33]
20	Matthew W. Hahn	[40]
21	David Haussler	[12]
22	Stephen R. Holbrook	[44]
23	Thorsten Joachims	[19]
24	Michael I. Jordan	[27] [33] [34] [36]
25	Jaz S. Kandola	[15] [16] [17] [25] [28] [29] [37]
26	Gert R. G. Lanckriet	[27] [33] [34] [36]
27	Huma Lodhi	[13] [18] [21] [22]
28	Kathleen Marchal	[38]
29	Michinari Momma	[32]
30	Patrick Monsieurs	[38]
31	Bart De Moor	[38]
32	William Stafford Noble	[34] [36]
33	John C. Platt	[5]
34	Elisa Ricci	[42] [43] [45]
35	Craig Saunders	[21]
36	Bernhard Schölkopf	[24]
37	Michèl Schummer	[12]
38	John Shawe-Taylor	[1] [2] [4] [5] [6] [7] [8] [9] [10] [11] [13] [15] [16] [17] [18] [19] [21] [22] [23] [25] [26] [28] [29] [37]
39	Alexander J. Smola (Alex J. Smola)	[14]
40	Tristan Snowsill	[48]
41	Peter Sykacek	[4]
42	Marco Turchi	[46] [47] [48] [49]
43	Alexei Vinokourov	[26]
44	Christopher J. C. H. Watkins	[13] [21]
45	Christopher K. I. Williams	[28] [29] [37]
46	Donghui Wu	[6] [11]

Colors in the list of coauthors