Alex J. Gammerman
List of publications from the DBLP Bibliography Server - FAQ
| 2008 | ||
|---|---|---|
| 37 | 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 | ||
| 36 | Steven Busuttil, Yuri Kalnishkan, Alexander Gammerman: Improving the aggregating algorithm for regression. Artificial Intelligence and Applications 2007: 379-384 | |
| 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) | |
| 1 | Jaakko Astola | [28] [30] [32] [37] |
| 2 | Katy S. Azoury | [6] |
| 3 | Tony Bellotti | [5] [26] [27] [33] |
| 4 | Peter M. Bramley | [20] |
| 5 | Steven Busuttil | [36] |
| 6 | Alexey Ya. Chervonenkis | [21] [22] |
| 7 | Frederick W. Van Delft | [27] |
| 8 | Leo Gordon | [21] [22] |
| 9 | John M. Hancock | [20] |
| 10 | Yuri Kalnishkan | [25] [36] |
| 11 | X. Liu | [1] |
| 12 | Zhiyuan Luo | [2] [4] [26] [27] [29] [33] |
| 13 | Ilia Nouretdinov | [13] [16] [18] [23] [24] |
| 14 | Harris Papadopoulos | [15] [17] [19] |
| 15 | Kostas Proedrou | [16] [17] [18] [19] |
| 16 | Boris Ryabko | [28] [30] [32] [37] |
| 17 | Vaskar Saha | [27] |
| 18 | Craig Saunders | [7] [10] [11] [12] |
| 19 | Ilham A. Shahmuradov | [20] [21] [22] |
| 20 | Victor V. Solovyev | [20] [21] [22] |
| 21 | Vladimir V. V'yugin | [24] |
| 22 | Vladimir Vapnik | [6] |
| 23 | 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] |
| 24 | Michael V. Vyugin | [13] |