Alexander Gammerman

Alex J. Gammerman

2009
39	EE	Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alexander Gammerman: Online prediction of ovarian cancer CoRR abs/0904.1579: (2009)
2008
38	EE	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	EE	Harris Papadopoulos, Volodya Vovk, Alexander Gammerman: Conformal Prediction with Neural Networks. ICTAI (2) 2007: 388-395
35	EE	Alexander Gammerman, Vladimir Vovk: Hedging Predictions in Machine Learning: The Second Computer Journal Lecture. Comput. J. 50(2): 151-163 (2007)
34	EE	Alexander Gammerman, Vladimir Vovk: Rejoinder Hedging Predictions in Machine Learning. Comput. J. 50(2): 173-177 (2007)
2006
33	EE	Tony Bellotti, Zhiyuan Luo, Alexander Gammerman: Strangeness Minimisation Feature Selection with Confidence Machines. IDEAL 2006: 978-985
32	EE	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	EE	Alexander Gammerman, Vladimir Vovk: Hedging predictions in machine learning CoRR abs/cs/0611011: (2006)
30	EE	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	EE	Zhiyuan Luo, Alexander Gammerman: Qualified Probabilistic Predictions Using Graphical Models. ECSQARU 2005: 111-122
28	EE	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	EE	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	EE	Zhiyuan Luo, Tony Bellotti, Alexander Gammerman: Qualified Predictions for Proteomics Pattern Diagnostics with Confidence Machines. IDEAL 2004: 46-51
25	EE	Alexander Gammerman, Yuri Kalnishkan, Vladimir Vovk: On-line Prediction with Kernels and the Complexity Approximation Principle. UAI 2004: 170-176
2003
24	EE	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	EE	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	EE	Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman: Inductive Confidence Machines for Regression. AMAI 2002
18	EE	Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman: Transductive Confidence Machines for Pattern Recognition. AMAI 2002
17	EE	Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman: Inductive Confidence Machines for Regression. ECML 2002: 345-356
16	EE	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	EE	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	EE	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	EE	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]
6	Steven Busuttil	[37]
7	Alexey Ya. Chervonenkis	[21] [22]
8	Frederick W. Van Delft	[27]
9	Dmitry Devetyarov	[39]
10	Leo Gordon	[21] [22]
11	John M. Hancock	[20]
12	Yuri Kalnishkan	[25] [37]
13	X. Liu	[1]
14	Zhiyuan Luo	[2] [4] [26] [27] [29] [33]
15	Ilia Nouretdinov	[13] [16] [18] [23] [24] [39]
16	Harris Papadopoulos	[15] [17] [19] [36]
17	Kostas Proedrou	[16] [17] [18] [19]
18	Boris Ryabko	[28] [30] [32] [38]
19	Vaskar Saha	[27]
20	Craig Saunders	[7] [10] [11] [12]
21	Ilham A. Shahmuradov	[20] [21] [22]
22	Victor V. Solovyev	[20] [21] [22]
23	Vladimir V. V'yugin	[24]
24	Vladimir Vapnik	[6]
25	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]
26	Michael V. Vyugin	[13]
27	Fedor Zhdanov	[39]

Colors in the list of coauthors