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ORCIDAlex Gammerman
Alex J. Gammerman – Alexander Gammerman
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- affiliation: Royal Holloway University of London (RHUL), Department of Computer Science, London, UK
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2020 – today
- 2026
[c66]Alexander Gammerman:
Inaugural Lecture Machine Learning: Progress and Prospects. The Importance of Being Learnable 2026: 28-45- 2025
- [j38]Vladimir Vovk
, Ilia Nouretdinov, Alex Gammerman:
Conformal e-testing. Pattern Recognit. 168: 111841 (2025) - [c65]Vladimir Vovk, Ilia Nouretdinov, Alexander Gammerman:
Validity and efficiency of the conformal CUSUM procedure. COPA 2025: 576-594 - [i19]Alexander Gammerman:
Machine Learning: Progress and Prospects. CoRR abs/2512.07519 (2025) - 2024
- [c64]Patrizio Giovannotti, Alexander Gammerman:
Calibrated Large Language Models for Binary Question Answering. COPA 2024: 218-235 - [i18]Patrizio Giovannotti, Alexander Gammerman:
Calibrated Large Language Models for Binary Question Answering. CoRR abs/2407.01122 (2024) - [i17]Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman:
Validity and efficiency of the conformal CUSUM procedure. CoRR abs/2412.03464 (2024) - 2023
- [c63]Ilia Nouretdinov, Alex Gammerman:
The Venn-ABERS Testing for Change-Point Detection. COPA 2023: 367-368 - 2022
- [j37]Alexander Gammerman, Vladimir Vovk, Marco Cristani:
Special Issue on Conformal and Probabilistic Prediction with Applications: Preface. Pattern Recognit. 126: 108561 (2022) - [c62]Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman:
Conformal testing: binary case with Markov alternatives. COPA 2022: 207-218 - 2021
- [c61]Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Ernst Ahlberg, Lars Carlsson, Alex Gammerman:
Retrain or not retrain: conformal test martingales for change-point detection. COPA 2021: 191-210 - [c60]Patrizio Giovannotti, Alex Gammerman:
Transformer-based conformal predictors for paraphrase detection. COPA 2021: 243-265 - [c59]Vladimir Vovk, Ivan Petej, Alex Gammerman:
Protected probabilistic classification. COPA 2021: 297-299 - [c58]Ilia Nouretdinov, Vladimir Vovk, Alex Gammerman:
Conformal changepoint detection in continuous model situations. COPA 2021: 300-302 - [i16]Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Ernst Ahlberg, Lars Carlsson, Alex Gammerman:
Retrain or not retrain: Conformal test martingales for change-point detection. CoRR abs/2102.10439 (2021) - [i15]Vladimir Vovk, Ivan Petej, Alex Gammerman:
Adaptive calibration for binary classification. CoRR abs/2107.01726 (2021) - [i14]Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman:
Conformal testing: binary case with Markov alternatives. CoRR abs/2111.01885 (2021) - 2020
- [j36]Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov, Ralf Peeters:
Special Issue on Conformal and Probabilistic Prediction with Applications. Neurocomputing 397: 264-265 (2020) - [j35]Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Valery Manokhin, Alexander Gammerman:
Computationally efficient versions of conformal predictive distributions. Neurocomputing 397: 292-308 (2020) - [c57]Vladimir Vovk, Ivan Petej, Paolo Toccaceli, Alexander Gammerman, Ernst Ahlberg, Lars Carlsson:
Conformal calibrators. COPA 2020: 84-99 - [c56]Ilia Nouretdinov, Alexander Balinsky, Alexander Gammerman:
Conformal anomaly detection for visual reconstruction using gestalt principles. COPA 2020: 151-170 - [e6]Alexander Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov, Giovanni Cherubin, Marco Christini:
Conformal and Probabilistic Prediction and Applications, COPA 2020, 9-11 September 2020, Virtual Event. Proceedings of Machine Learning Research 128, PMLR 2020 [contents]
2010 – 2019
- 2019
- [j34]Alexander Gammerman, Vladimir Vovk, Henrik Boström, Lars Carlsson:
Conformal and probabilistic prediction with applications: editorial. Mach. Learn. 108(3): 379-380 (2019) - [j33]Paolo Toccaceli, Alexander Gammerman:
Combination of inductive mondrian conformal predictors. Mach. Learn. 108(3): 489-510 (2019) - [e5]Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov:
Conformal and Probabilistic Prediction and Applications, COPA 2019, 9-11 September 2019, Golden Sands, Bulgaria. Proceedings of Machine Learning Research 105, PMLR 2019 [contents] - [i13]Vladimir Vovk, Ivan Petej, Paolo Toccaceli, Alex Gammerman:
Conformal calibrators. CoRR abs/1902.06579 (2019) - [i12]Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman:
Computationally efficient versions of conformal predictive distributions. CoRR abs/1911.00941 (2019) - 2018
- [c55]Ilia Nouretdinov, Denis Volkhonskiy, Pitt Lim, Paolo Toccaceli, Alexander Gammerman:
Inductive Venn-Abers predictive distribution. COPA 2018: 15-36 - [c54]Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alexander Gammerman:
Cross-conformal predictive distributions. COPA 2018: 37-51 - [e4]Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov, Ralf L. M. Peeters:
7th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2018, 11-13 June 2018, Maastricht, The Netherlands. Proceedings of Machine Learning Research 91, PMLR 2018 [contents] - 2017
- [j32]Alexander Gammerman, Vladimir Vovk:
Foreword to this special issue: conformal and probabilistic prediction with applications. Ann. Math. Artif. Intell. 81(1-2): 1-2 (2017) - [j31]Vladimir Vovk, Ilia Nouretdinov, Valentina Fedorova, Ivan Petej, Alex Gammerman:
Criteria of efficiency for set-valued classification. Ann. Math. Artif. Intell. 81(1-2): 21-46 (2017) - [j30]Paolo Toccaceli, Ilia Nouretdinov, Alexander Gammerman:
Conformal prediction of biological activity of chemical compounds. Ann. Math. Artif. Intell. 81(1-2): 105-123 (2017) - [c53]Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman:
Conformal Predictive Distributions with Kernels. Braverman Readings in Machine Learning 2017: 103-121 - [c52]Paolo Toccaceli, Alexander Gammerman:
Combination of Conformal Predictors for Classification. COPA 2017: 39-61 - [c51]Denis Volkhonskiy, Evgeny Burnaev, Ilia Nouretdinov, Alexander Gammerman, Vladimir Vovk:
Inductive Conformal Martingales for Change-Point Detection. COPA 2017: 132-153 - [e3]Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Harris Papadopoulos:
Conformal and Probabilistic Prediction and Applications, COPA 2017, 13-16 June 2017, Stockholm, Sweden. Proceedings of Machine Learning Research 60, PMLR 2017 [contents] - [i11]Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman:
Conformal predictive distributions with kernels. CoRR abs/1710.08894 (2017) - 2016
- [c50]Vladimir Vovk, Valentina Fedorova, Ilia Nouretdinov, Alexander Gammerman:
Criteria of Efficiency for Conformal Prediction. COPA 2016: 23-39 - [c49]Paolo Toccaceli, Ilia Nouretdinov, Alexander Gammerman:
Conformal Predictors for Compound Activity Prediction. COPA 2016: 51-66 - [e2]Alexander Gammerman, Zhiyuan Luo, Jesús Vega, Vladimir Vovk:
Conformal and Probabilistic Prediction with Applications - 5th International Symposium, COPA 2016, Madrid, Spain, April 20-22, 2016, Proceedings. Lecture Notes in Computer Science 9653, Springer 2016, ISBN 978-3-319-33394-6 [contents] - [i10]Vladimir Vovk, Valentina Fedorova, Ilia Nouretdinov, Alex Gammerman:
Criteria of efficiency for conformal prediction. CoRR abs/1603.04416 (2016) - [i9]Paolo Toccaceli, Ilia Nouretdinov, Alexander Gammerman:
Conformal Predictors for Compound Activity Prediction. CoRR abs/1603.04506 (2016) - 2015
- [j29]Harris Papadopoulos, Vladimir Vovk, Alexander Gammerman:
Guest editors' preface to the special issue on conformal prediction and its applications. Ann. Math. Artif. Intell. 74(1-2): 1-7 (2015) - [j28]Ilia Nouretdinov, Dmitry Devetyarov, Volodya Vovk, Brian Burford, Stephane Camuzeaux, Aleksandra Gentry-Maharaj, Ali Tiss, Celia J. Smith, Zhiyuan Luo, Alexey Ya. Chervonenkis, Rachel Hallett, Mike Waterfield, Rainer Cramer, John F. Timms, Ian Jacobs, Usha Menon, Alex Gammerman:
Multiprobabilistic prediction in early medical diagnoses. Ann. Math. Artif. Intell. 74(1-2): 203-222 (2015) - [j27]Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk:
Hypergraphical Conformal Predictors. Int. J. Artif. Intell. Tools 24(6): 1560003:1-1560003:24 (2015) - [j26]Alex Gammerman, Vladimir Vovk:
Preface to this special issue. J. Mach. Learn. Res. 16: 1677-1681 (2015) - [j25]Alex Gammerman, Vladimir Vovk:
Alexey Chervonenkis's bibliography: introductory comments. J. Mach. Learn. Res. 16: 2051-2066 (2015) - [j24]Alex Gammerman, Vladimir Vovk:
Alexey Chervonenkis's bibliography. J. Mach. Learn. Res. 16: 2067-2080 (2015) - [c48]James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, Alexander Gammerman:
Conformal Anomaly Detection of Trajectories with a Multi-class Hierarchy. SLDS 2015: 281-290 - [c47]Giovanni Cherubin, Ilia Nouretdinov, Alexander Gammerman, Roberto Jordaney, Zhi Wang, Davide Papini, Lorenzo Cavallaro:
Conformal Clustering and Its Application to Botnet Traffic. SLDS 2015: 313-322 - [e1]Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos:
Statistical Learning and Data Sciences - Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Lecture Notes in Computer Science 9047, Springer 2015, ISBN 978-3-319-17090-9 [contents] - 2014
- [c46]Chenzhe Zhou, Ilia Nouretdinov, Zhiyuan Luo, Alex Gammerman:
SVM Venn Machine with k-Means Clustering. AIAI (Workshops) 2014: 251-260 - [c45]James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, Alexander Gammerman:
Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction. AIAI (Workshops) 2014: 271-280 - [i8]Harris Papadopoulos, Vladimir Vovk, Alex Gammerman:
Regression Conformal Prediction with Nearest Neighbours. CoRR abs/1401.3880 (2014) - 2013
- [c44]Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk:
Conformal Prediction under Hypergraphical Models. ICCSW 2013: 27-34 - [c43]Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk:
Conformal Prediction under Hypergraphical Models. AIAI 2013: 371-383 - [c42]Antonis Lambrou, Harris Papadopoulos, Alexander Gammerman:
Osteoporosis Risk Assessment with Well-Calibrated Probabilistic Outputs. AIAI 2013: 432-441 - [i7]Alex Gammerman, Volodya Vovk, Vladimir Vapnik:
Learning by Transduction. CoRR abs/1301.7375 (2013) - 2012
- [j23]Antonis Lambrou, Harris Papadopoulos, Efthyvoulos Kyriacou, Constantinos S. Pattichis, Marios S. Pattichis, Alexander Gammerman, Andrew Nicolaides:
Evaluation of the Risk of Stroke with Confidence Predictions Based on Ultrasound Carotid Image Analysis. Int. J. Artif. Intell. Tools 21(4) (2012) - [j22]Alexander Gammerman:
Conformal predictors. Prog. Artif. Intell. 1(3): 203-204 (2012) - [j21]Valentina Fedorova, Ilia Nouretdinov, Alex Gammerman:
Testing the Gauss linear assumption for on-line predictions. Prog. Artif. Intell. 1(3): 205-213 (2012) - [j20]Olga Ivina, Ilia Nouretdinov, Alex Gammerman:
Valid predictions with confidence estimation in an air pollution problem. Prog. Artif. Intell. 1(3): 235-243 (2012) - [j19]Dmitry Devetyarov, Ilia Nouretdinov, Brian Burford, Stephane Camuzeaux, Aleksandra Gentry-Maharaj, Ali Tiss, Celia J. Smith, Zhiyuan Luo, Alexey Ya. Chervonenkis, Rachel Hallett, Volodya Vovk, Mike Waterfield, Rainer Cramer, John Timms, John Sinclair, Usha Menon, Ian Jacobs, Alex Gammerman:
Conformal predictors in early diagnostics of ovarian and breast cancers. Prog. Artif. Intell. 1(3): 245-257 (2012) - [c41]Antonis Lambrou, Harris Papadopoulos, Alexander Gammerman:
Calibrated probabilistic predictions for biomedical applications. BIBE 2012: 211-216 - [c40]Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Volodya Vovk:
Plug-in martingales for testing exchangeability on-line. ICML 2012 - [c39]Antonis Lambrou, Harris Papadopoulos, Ilia Nouretdinov, Alexander Gammerman:
Reliable Probability Estimates Based on Support Vector Machines for Large Multiclass Datasets. AIAI (2) 2012: 182-191 - [c38]Ilia Nouretdinov, Dmitry Devetyarov, Brian Burford, Stephane Camuzeaux, Aleksandra Gentry-Maharaj, Ali Tiss, Celia J. Smith, Zhiyuan Luo, Alexey Ya. Chervonenkis, Rachel Hallett, Volodya Vovk, Mike Waterfield, Rainer Cramer, John Timms, Ian Jacobs, Usha Menon, Alexander Gammerman:
Multiprobabilistic Venn Predictors with Logistic Regression. AIAI (2) 2012: 224-233 - [c37]Ilia Nouretdinov, Alex Gammerman, Yanjun Qi, Judith Klein-Seetharaman:
Determining Confidence of Predicted Interactions Between HIV-1 and Human Proteins Using Conformal Method. Pacific Symposium on Biocomputing 2012: 311-322 - [i6]Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk:
Plug-in martingales for testing exchangeability on-line. CoRR abs/1204.3251 (2012) - [i5]Alex Gammerman, Yuri Kalnishkan, Vladimir Vovk:
On-line Prediction with Kernels and the Complexity Approximation Principle. CoRR abs/1207.4113 (2012) - 2011
- [j18]Harris Papadopoulos, Vladimir Vovk, Alex Gammerman:
Regression Conformal Prediction with Nearest Neighbours. J. Artif. Intell. Res. 40: 815-840 (2011) - [j17]Ilia Nouretdinov, Sergi G. Costafreda, Alexander Gammerman, Alexey Ya. Chervonenkis, Vladimir Vovk, Vladimir Vapnik, Cynthia H. Y. Fu:
Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression. NeuroImage 56(2): 809-813 (2011) - [j16]Antonis Lambrou, Harris Papadopoulos, Alex Gammerman:
Reliable Confidence Measures for Medical Diagnosis With Evolutionary Algorithms. IEEE Trans. Inf. Technol. Biomed. 15(1): 93-99 (2011) - [c36]Meng Yang, Ilia Nouretdinov, Zhiyuan Luo, Alex Gammerman:
Feature Selection by Conformal Predictor. AIAI 2011: 439-448 - [c35]Dmitry Adamskiy, Ilia Nouretdinov, Andy Mitchell, Nick Coldham, Alex Gammerman:
Applying Conformal Prediction to the Bovine TB Diagnosing. AIAI 2011: 449-454 - [c34]Chenzhe Zhou, Ilia Nouretdinov, Zhiyuan Luo, Dmitry Adamskiy, Luke Randell, Nicholas Coldham, Alex Gammerman:
A Comparison of Venn Machine with Platt's Method in Probabilistic Outputs. AIAI 2011: 483-490 - 2010
- [j15]Alex Gammerman, Vladimir Vovk:
Prédictions contrôlées en apprentissage automatique. Monde des Util. Anal. Données 42: 16-33 (2010) - [c33]Dmitry Devetyarov, Martin Woodward, Nicholas Coldham, Muna Anjum, Alexander Gammerman:
A New Bioinformatics Tool for Prediction with Confidence. BIOCOMP 2010: 24-28 - [c32]Alexander Gammerman:
Modern Machine Learning Techniques and Their Applications to Medical Diagnostics. AIAI 2010: 2 - [c31]Antonis Lambrou, Harris Papadopoulos, Efthyvoulos C. Kyriacou, Constantinos S. Pattichis, Marios S. Pattichis, Alexander Gammerman, Andrew Nicolaides:
Assessment of Stroke Risk Based on Morphological Ultrasound Image Analysis with Conformal Prediction. AIAI 2010: 146-153 - [c30]Ilia Nouretdinov, Guang Li, Alexander Gammerman, Zhiyuan Luo:
Application of Conformal Predictors to Tea Classification Based on Electronic Nose. AIAI 2010: 303-310
2000 – 2009
- 2009
- [j14]Frank-Michael Schleif, Thomas Villmann, Markus Kostrzewa, Barbara Hammer, Alexander Gammerman:
Cancer informatics by prototype networks in mass spectrometry. Artif. Intell. Medicine 45(2-3): 215-228 (2009) - [j13]Alex 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) - [c29]Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alex Gammerman:
Online Prediction of Ovarian Cancer. AIME 2009: 375-379 - [c28]Dmitry Devetyarov, Ilia Nouretdinov, Alex Gammerman:
Confidence Machine and Its Application to Medical Diagnosis. BIOCOMP 2009: 448-454 - [c27]Peter McCullagh, Vladimir Vovk, Ilia Nouretdinov, Dmitry Devetyarov, Alex Gammerman:
Conditional Prediction Intervals for Linear Regression. ICMLA 2009: 131-138 - [c26]Ilia Nouretdinov, Brian Burford, Alex Gammerman:
Application of Inductive Confidence Machine to ICMLA Competition Data. ICMLA 2009: 435-438 - [c25]Harris Papadopoulos, Alex Gammerman, Volodya Vovk:
Confidence Predictions for the Diagnosis of Acute Abdominal Pain. AIAI 2009: 175-184 - [i4]Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alex Gammerman:
Online prediction of ovarian cancer. CoRR abs/0904.1579 (2009) - 2008
- [j12]Boris Ryabko, Jaakko Astola, Alex Gammerman:
Adaptive Coding and Prediction of Sources With Large and Infinite Alphabets. IEEE Trans. Inf. Theory 54(8): 3808-3813 (2008) - 2007
- [j11]Alexander Gammerman, Vladimir Vovk:
Hedging Predictions in Machine Learning: The Second Computer Journal Lecture. Comput. J. 50(2): 151-163 (2007) - [j10]Alexander Gammerman, Vladimir Vovk:
Rejoinder Hedging Predictions in Machine Learning. Comput. J. 50(2): 173-177 (2007) - [c24]Steven Busuttil, Yuri Kalnishkan, Alex Gammerman:
Improving the aggregating algorithm for regression. Artificial Intelligence and Applications 2007: 379-384 - [c23]Harris Papadopoulos, Volodya Vovk, Alex Gammerman:
Conformal Prediction with Neural Networks. ICTAI (2) 2007: 388-395 - 2006
- [j9]Boris Ryabko, Jaakko Astola, Alex 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) - [c22]Tony Bellotti, Zhiyuan Luo, Alex Gammerman:
Reliable classification of childhood acute leukaemia from gene expression data using confidence machines. GrC 2006: 148-153 - [c21]Tony Bellotti, Zhiyuan Luo, Alex Gammerman:
Strangeness Minimisation Feature Selection with Confidence Machines. IDEAL 2006: 978-985 - [i3]Boris Ryabko, Jaakko Astola, Alex 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 - [i2]Alexander Gammerman, Vladimir Vovk:
Hedging predictions in machine learning. CoRR abs/cs/0611011 (2006) - 2005
- [j8]Tony Bellotti, Zhiyuan Luo, Alex 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) - [c20]Zhiyuan Luo, Alex Gammerman:
Qualified Probabilistic Predictions Using Graphical Models. ECSQARU 2005: 111-122 - [i1]Boris Ryabko, Jaakko Astola, Alex 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) - 2004
- [c19]Zhiyuan Luo, Tony Bellotti, Alex Gammerman:
Qualified Predictions for Proteomics Pattern Diagnostics with Confidence Machines. IDEAL 2004: 46-51 - [c18]Alex Gammerman, Yuri Kalnishkan, Vladimir Vovk:
On-line Prediction with Kernels and the Complexity Approximation Principle. UAI 2004: 170-176 - 2003
- [j7]Leo Gordon, Alexey Ya. Chervonenkis, Alex J. Gammerman, Ilham A. Shahmuradov, Victor V. Solovyev:
Sequence alignment kernel for recognition of promoter regions. Bioinform. 19(15): 1964-1971 (2003) - [j6]Ilham A. Shahmuradov, Alex J. Gammerman, John M. Hancock, Peter M. Bramley, Victor V. Solovyev:
PlantProm: a database of plant promoter sequences. Nucleic Acids Res. 31(1): 114-117 (2003) - [c17]Ilia Nouretdinov, Vladimir V. V'yugin, Alex Gammerman:
Transductive Confidence Machine Is Universal. ALT 2003: 283-297 - [c16]Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman:
Testing Exchangeability On-Line. ICML 2003: 768-775 - [c15]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 - 2002
- [j5]Alex Gammerman, Volodya Vovk:
Prediction algorithms and confidence measures based on algorithmic randomness theory. Theor. Comput. Sci. 287(1): 209-217 (2002) - [c14]Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alex Gammerman:
Inductive Confidence Machines for Regression. ECML 2002: 345-356 - [c13]Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alex Gammerman:
Transductive Confidence Machines for Pattern Recognition. ECML 2002: 381-390 - [c12]Harris Papadopoulos, Vladimir Vovk, Alex Gammerman:
Qualified Prediction for Large Data Sets in the Case of Pattern Recognition. ICMLA 2002: 159-163 - [c11]Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alex Gammerman:
Inductive Confidence Machines for Regression. AI&M 2002 - [c10]Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alex Gammerman:
Transductive Confidence Machines for Pattern Recognition. AI&M 2002 - 2001
- [c9]Ilia Nouretdinov, Volodya Vovk, Michael V. Vyugin, Alex Gammerman:
Pattern Recognition and Density Estimation under the General i.i.d. Assumption. COLT/EuroCOLT 2001: 337-353 - [p1]Alexey Ya. Chervonenkis, Alex Gammerman, Mark Herbster:
A combined Bayes - maximum likelihood method for regression. Data Fusion and Perception 2001: 25-49 - 2000
- [c8]Craig Saunders, Alex Gammerman, Volodya Vovk:
Computationally Efficient Transductive Machines. ALT 2000: 325-333
1990 – 1999
- 1999
- [b1]Alex Gammerman:
Causal models and intelligent data management. Springer 1999, ISBN 978-3-540-66328-7, pp. I-X, 1-185 - [j4]Alexander Gammerman, Vladimir Vovk:
Kolmogorov Complexity: Sources, Theory and Applications. Comput. J. 42(4): 252-255 (1999) - [j3]Vladimir Vovk, Alexander Gammerman:
Complexity Approximation Principle. Comput. J. 42(4): 318-322 (1999) - [c7]Volodya Vovk, Alexander Gammerman, Craig Saunders:
Machine-Learning Applications of Algorithmic Randomness. ICML 1999: 444-453 - [c6]Craig Saunders, Alex Gammerman, Volodya Vovk:
Transduction with Confidence and Credibility. IJCAI 1999: 722-726 - 1998
- [c5]Craig Saunders, Alexander Gammerman, Volodya Vovk:
Ridge Regression Learning Algorithm in Dual Variables. ICML 1998: 515-521 - [c4]Alexander Gammerman, Volodya Vovk, Vladimir Vapnik:
Learning by Transduction. UAI 1998: 148-155 - 1992
- [c3]Alexander Gammerman, Tony Bellotti:
Experiments Using Minimal-Length Encoding to Solve Machine Learning Problems. Data Compression Conference 1992: 359-367 - 1991
- [j2]Alexander Gammerman:
The representation and manipulation of the algorithmic probability measure for problem solving. Ann. Math. Artif. Intell. 4: 281-300 (1991) - [c2]Zhiyuan Luo, Alex Gammerman:
Press - A Probabilistic Reasoning Expert System Shell. ECSQARU 1991: 232-237 - 1990
- [c1]Zhiyuan Luo, Alex Gammerman:
STOSS - A Stochastic Simulation System for Bayesian Belief Networks. IPMU 1990: 97-105
1980 – 1989
- 1988
- [j1]X. Liu, Alex J. Gammerman:
A Hybrid Approach to Deductive Uncertain Inference. Int. J. Man Mach. Stud. 28(6): 671-681 (1988)
Coauthor Index
[j38] [c65] [i17] [c63] [c62] [c61] [c58] [i16] [i14] [j35] [c56] [i12] [c55] [c54] [j31] [j30] [c53] [c51] [i11] [c50] [c49] [i10] [i9] [j28] [j27] [c48] [c47] [c46] [c45] [c44] [c43] [j21] [j20] [j19] [c40] [c39] [c38] [c37] [i6] [j17] [c36] [c35] [c34] [c30] [j13] [c29] [c28] [c27] [c26] [i4] [c17] [c16] [c13] [c10] [c9]
Vladimir Vovk
aka: Volodya Vovk
aka: Volodya Vovk
[j38] [c65] [i17] [j37] [c62] [c61] [c59] [c58] [i16] [i15] [i14] [j36] [j35] [c57] [e6] [j34] [e5] [i13] [i12] [c54] [e4] [j32] [j31] [c53] [c51] [e3] [i11] [c50] [e2] [i10] [j29] [j28] [j27] [j26] [j25] [j24] [e1] [i8] [c44] [c43] [i7] [j19] [c40] [c38] [i6] [i5] [j18] [j17] [j15] [j13] [c29] [c27] [c25] [i4] [j11] [j10] [c23] [i2] [c18] [c16] [j5] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [j4] [j3] [c7] [c6] [c5] [c4]
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last updated on 2026-04-07 00:05 CEST by the dblp team
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