Alexander Gammerman

Alex J. Gammerman

	2009
43		Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alexander Gammerman: Online Prediction of Ovarian Cancer. AIME 2009: 375-379
42		Dmitry Devetyarov, Ilia Nouretdinov, Alexander Gammerman: Confidence Machine and Its Application to Medical Diagnosis. BIOCOMP 2009: 448-454
41		Frank-Michael Schleif, Thomas Villmann, Markus Kostrzewa, Barbara Hammer, Alexander Gammerman: Cancer informatics by prototype networks in mass spectrometry. Artificial Intelligence in Medicine 45(2-3): 215-228 (2009)
40		Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alexander Gammerman: Online prediction of ovarian cancer CoRR abs/0904.1579: (2009)
39		Alexander Gammerman, Volodya Vovk, Brian Burford, Ilia Nouretdinov, Zhiyuan Luo, Alexey Ya. Chervonenkis, Mike Waterfield, Rainer Cramer, Paul Tempst, Josep Villanueva, Musarat Kabir, Stephane Camuzeaux, John Timms, Usha Menon, Ian Jacobs: Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer. Comput. J. 52(3): 326-333 (2009)
	2008
38		Boris Ryabko, Jaakko Astola, Alexander Gammerman: Adaptive Coding and Prediction of Sources With Large and Infinite Alphabets. IEEE Transactions on Information Theory 54(8): 3808-3813 (2008)
	2007
37		Steven Busuttil, Yuri Kalnishkan, Alexander Gammerman: Improving the aggregating algorithm for regression. Artificial Intelligence and Applications 2007: 379-384
36		Harris Papadopoulos, Volodya Vovk, Alexander Gammerman: Conformal Prediction with Neural Networks. ICTAI (2) 2007: 388-395
35		Alexander Gammerman, Vladimir Vovk: Hedging Predictions in Machine Learning: The Second Computer Journal Lecture. Comput. J. 50(2): 151-163 (2007)
34		Alexander Gammerman, Vladimir Vovk: Rejoinder Hedging Predictions in Machine Learning. Comput. J. 50(2): 173-177 (2007)
	2006
33		Tony Bellotti, Zhiyuan Luo, Alexander Gammerman: Strangeness Minimisation Feature Selection with Confidence Machines. IDEAL 2006: 978-985
32		Boris Ryabko, Jaakko Astola, Alexander Gammerman: Application of Kolmogorov complexity and universal codes to identity testing and nonparametric testing of serial independence for time series.. Kolmogorov Complexity and Applications 2006
31		Alexander Gammerman, Vladimir Vovk: Hedging predictions in machine learning CoRR abs/cs/0611011: (2006)
30		Boris Ryabko, Jaakko Astola, Alexander Gammerman: Application of Kolmogorov complexity and universal codes to identity testing and nonparametric testing of serial independence for time series. Theor. Comput. Sci. 359(1-3): 440-448 (2006)
	2005
29		Zhiyuan Luo, Alexander Gammerman: Qualified Probabilistic Predictions Using Graphical Models. ECSQARU 2005: 111-122
28		Boris Ryabko, Jaakko Astola, Alexander Gammerman: Application of Kolmogorov complexity and universal codes to identity testing and nonparametric testing of serial independence for time series CoRR abs/cs/0505079: (2005)
27		Tony Bellotti, Zhiyuan Luo, Alexander Gammerman, Frederick W. Van Delft, Vaskar Saha: Qualified predictions for microarray and proteomics pattern diagnostics with confidence machines. Int. J. Neural Syst. 15(4): 247-258 (2005)
	2004
26		Zhiyuan Luo, Tony Bellotti, Alexander Gammerman: Qualified Predictions for Proteomics Pattern Diagnostics with Confidence Machines. IDEAL 2004: 46-51
25		Alexander Gammerman, Yuri Kalnishkan, Vladimir Vovk: On-line Prediction with Kernels and the Complexity Approximation Principle. UAI 2004: 170-176
	2003
24		Ilia Nouretdinov, Vladimir V. V'yugin, Alexander Gammerman: Transductive Confidence Machine Is Universal. ALT 2003: 283-297
23		Vladimir Vovk, Ilia Nouretdinov, Alexander Gammerman: Testing Exchangeability On-Line. ICML 2003: 768-775
22		Leo Gordon, Alexey Ya. Chervonenkis, Alex J. Gammerman, Ilham A. Shahmuradov, Victor V. Solovyev: Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel. IDA 2003: 386-396
21		Leo Gordon, Alexey Ya. Chervonenkis, Alex J. Gammerman, Ilham A. Shahmuradov, Victor V. Solovyev: Sequence alignment kernel for recognition of promoter regions. Bioinformatics 19(15): 1964-1971 (2003)
20		Ilham A. Shahmuradov, Alex J. Gammerman, John M. Hancock, Peter M. Bramley, Victor V. Solovyev: PlantProm: a database of plant promoter sequences. Nucleic Acids Research 31(1): 114-117 (2003)
	2002
19		Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman: Inductive Confidence Machines for Regression. AMAI 2002
18		Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman: Transductive Confidence Machines for Pattern Recognition. AMAI 2002
17		Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman: Inductive Confidence Machines for Regression. ECML 2002: 345-356
16		Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman: Transductive Confidence Machines for Pattern Recognition. ECML 2002: 381-390
15		Harris Papadopoulos, Vladimir Vovk, Alexander Gammerman: Qualified Prediction for Large Data Sets in the Case of Pattern Recognition. ICMLA 2002: 159-163
14		Alexander Gammerman, Volodya Vovk: Prediction algorithms and confidence measures based on algorithmic randomness theory. Theor. Comput. Sci. 287(1): 209-217 (2002)
	2001
13		Ilia Nouretdinov, Volodya Vovk, Michael V. Vyugin, Alexander Gammerman: Pattern Recognition and Density Estimation under the General i.i.d. Assumption. COLT/EuroCOLT 2001: 337-353
	2000
12		Craig Saunders, Alexander Gammerman, Volodya Vovk: Computationally Efficient Transductive Machines. ALT 2000: 325-333
	1999
11		Volodya Vovk, Alexander Gammerman, Craig Saunders: Machine-Learning Applications of Algorithmic Randomness. ICML 1999: 444-453
10		Craig Saunders, Alexander Gammerman, Volodya Vovk: Transduction with Confidence and Credibility. IJCAI 1999: 722-726
9		Alexander Gammerman, Vladimir Vovk: Kolmogorov Complexity: Sources, Theory and Applications. Comput. J. 42(4): 252-255 (1999)
8		Vladimir Vovk, Alexander Gammerman: Complexity Approximation Principle. Comput. J. 42(4): 318-322 (1999)
	1998
7		Craig Saunders, Alexander Gammerman, Volodya Vovk: Ridge Regression Learning Algorithm in Dual Variables. ICML 1998: 515-521
6		Alexander Gammerman, Katy S. Azoury, Vladimir Vapnik: Learning by Transduction. UAI 1998: 148-155
	1992
5		Alexander Gammerman, Tony Bellotti: Experiments Using Minimal-Length Encoding to Solve Machine Learning Problems. Data Compression Conference 1992: 359-367
	1991
4		Zhiyuan Luo, Alexander Gammerman: Press - A Probabilistic Reasoning Expert System Shell. ECSQARU 1991: 232-237
3		Alexander Gammerman: The representation and manipulation of the algorithmic probability measure for problem solving. Ann. Math. Artif. Intell. 4: 281-300 (1991)
	1990
2		Zhiyuan Luo, Alexander Gammerman: STOSS - A Stochastic Simulation System for Bayesian Belief Networks. IPMU 1990: 97-105
	1988
1		X. Liu, Alexander Gammerman: A Hybrid Approach to Deductive Uncertain Inference. International Journal of Man-Machine Studies 28(6): 671-681 (1988)

Coauthor Index

1	Jaakko Astola	[28] [30] [32] [38]
2	Katy S. Azoury	[6]
3	Tony Bellotti	[5] [26] [27] [33]
4	Peter M. Bramley	[20]
5	Brian Burford	[39] [40] [43]
6	Steven Busuttil	[37]
7	Stephane Camuzeaux	[39]
8	Alexey Ya. Chervonenkis	[21] [22] [39]
9	Rainer Cramer	[39]
10	Frederick W. Van Delft	[27]
11	Dmitry Devetyarov	[40] [42] [43]
12	Leo Gordon	[21] [22]
13	Barbara Hammer	[41]
14	John M. Hancock	[20]
15	Ian Jacobs	[39]
16	Musarat Kabir	[39]
17	Yuri Kalnishkan	[25] [37]
18	Markus Kostrzewa	[41]
19	X. Liu	[1]
20	Zhiyuan Luo	[2] [4] [26] [27] [29] [33] [39]
21	Usha Menon	[39]
22	Ilia Nouretdinov	[13] [16] [18] [23] [24] [39] [40] [42] [43]
23	Harris Papadopoulos	[15] [17] [19] [36]
24	Kostas Proedrou	[16] [17] [18] [19]
25	Boris Ryabko	[28] [30] [32] [38]
26	Vaskar Saha	[27]
27	Craig Saunders	[7] [10] [11] [12]
28	Frank-Michael Schleif	[41]
29	Ilham A. Shahmuradov	[20] [21] [22]
30	Victor V. Solovyev	[20] [21] [22]
31	Paul Tempst	[39]
32	John Timms	[39]
33	Vladimir V. V'yugin	[24]
34	Vladimir Vapnik	[6]
35	Josep Villanueva	[39]
36	Thomas Villmann	[41]
37	Vladimir Vovk (Volodya Vovk, V. G. Vovk)	[7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [23] [25] [31] [34] [35] [36] [39] [40] [43]
38	Michael V. Vyugin	[13]
39	Mike Waterfield	[39]
40	Fedor Zhdanov	[40] [43]

Colors in the list of coauthors