Alexander Gammerman - researchr alias

researchr

You are not signed in
Sign in
Sign up

2011

Reliable Confidence Measures for Medical Diagnosis With Evolutionary AlgorithmsAntonis Lambrou, Harris Papadopoulos, Alexander Gammerman. titb, 15(1):93-99, 2011. [doi]

Regression Conformal Prediction with Nearest NeighboursHarris Papadopoulos, Vladimir Vovk, Alexander Gammerman. jair, 40:815-840, 2011. [doi]

2010

2009

Confidence Machine and Its Application to Medical DiagnosisDmitry Devetyarov, Ilia Nouretdinov, Alexander Gammerman. biocomp 2009: 448-454

Serum Proteomic Abnormality Predating Screen Detection of Ovarian CancerAlexander 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. cj, 52(3):326-333, 2009. [doi]

Conditional Prediction Intervals for Linear RegressionPeter McCullagh, Vladimir Vovk, Ilia Nouretdinov, Dmitry Devetyarov, Alexander Gammerman. icmla 2009: 131-138 [doi]

Application of Inductive Confidence Machine to ICMLA Competition DataIlia Nouretdinov, Brian Burford, Alexander Gammerman. icmla 2009: 435-438 [doi]

Confidence Predictions for the Diagnosis of Acute Abdominal PainHarris Papadopoulos, Alexander Gammerman, Volodya Vovk. ifip12 2009: 175-184 [doi]

Cancer informatics by prototype networks in mass spectrometryFrank-Michael Schleif, Thomas Villmann, Markus Kostrzewa, Barbara Hammer, Alexander Gammerman. artmed, 45(2-3):215-228, 2009. [doi]

Online Prediction of Ovarian CancerFedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alexander Gammerman. aime 2009: 375-379 [doi]

2008

Adaptive Coding and Prediction of Sources With Large and Infinite AlphabetsBoris Ryabko, Jaakko Astola, Alexander Gammerman. TIT, 54(8):3808-3813, 2008. [doi]

2007

2006

2005

Qualified predictions for microarray and proteomics pattern diagnostics with confidence machinesTony Bellotti, Zhiyuan Luo, Alexander Gammerman, Frederick W. Van Delft, Vaskar Saha. IJNS, 15(4):247-258, 2005. [doi]

Qualified Probabilistic Predictions Using Graphical ModelsZhiyuan Luo, Alexander Gammerman. ecsqaru 2005: 111-122 [doi]

2004

On-line Prediction with Kernels and the Complexity Approximation PrincipleAlexander Gammerman, Yuri Kalnishkan, Vladimir Vovk. uai 2004: 170-176 [doi]

Qualified Predictions for Proteomics Pattern Diagnostics with Confidence MachinesZhiyuan Luo, Tony Bellotti, Alexander Gammerman. ideal 2004: 46-51 [doi]

2003

Transductive Confidence Machine Is UniversalIlia Nouretdinov, Vladimir V. V yugin, Alexander Gammerman. alt 2003: 283-297 [doi]

Testing Exchangeability On-LineVladimir Vovk, Ilia Nouretdinov, Alexander Gammerman. icml 2003: 768-775

2002

Prediction algorithms and confidence measures based on algorithmic randomness theoryAlexander Gammerman, Volodya Vovk. TCS, 287(1):209-217, 2002.

Inductive Confidence Machines for RegressionHarris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman. amai 2002: [doi]

Inductive Confidence Machines for RegressionHarris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman. ecml 2002: 345-356 [doi]

Qualified Prediction for Large Data Sets in the Case of Pattern RecognitionHarris Papadopoulos, Vladimir Vovk, Alexander Gammerman. icmla 2002: 159-163

Transductive Confidence Machines for Pattern RecognitionKostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman. ecml 2002: 381-390 [doi]

Transductive Confidence Machines for Pattern RecognitionKostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman. amai 2002: [doi]

2001

Pattern Recognition and Density Estimation under the General i.i.d. AssumptionIlia Nouretdinov, Volodya Vovk, Michael V. Vyugin, Alexander Gammerman. colt 2001: 337-353 [doi]

2000

Computationally Efficient Transductive MachinesCraig Saunders, Alexander Gammerman, Volodya Vovk. alt 2000: 325-333 [doi]

1999

1998

Learning by TransductionAlexander Gammerman, Katy S. Azoury, Vladimir Vapnik. uai 1998: 148-155 [doi]

Ridge Regression Learning Algorithm in Dual VariablesCraig Saunders, Alexander Gammerman, Volodya Vovk. icml 1998: 515-521

1992

Experiments Using Minimal-Length Encoding to Solve Machine Learning ProblemsAlexander Gammerman, Tony Bellotti. dcc 1992: 359-367

1991

The representation and manipulation of the algorithmic probability measure for problem solvingAlexander Gammerman. AMAI, 4:281-300, 1991.

Press - A Probabilistic Reasoning Expert System ShellZhiyuan Luo, Alexander Gammerman. ecsqaru 1991: 232-237

1990

STOSS - A Stochastic Simulation System for Bayesian Belief NetworksZhiyuan Luo, Alexander Gammerman. ipmu 1991: 97-105

1988

A Hybrid Approach to Deductive Uncertain InferenceX. Liu, Alexander Gammerman. ijmms, 28(6):671-681, 1988.