Alexey Ya. Chervonenkis

Affiliations:
  • University of London, UK


According to our database1, Alexey Ya. Chervonenkis authored at least 15 papers between 2001 and 2015.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2015
Multiprobabilistic prediction in early medical diagnoses.
Ann. Math. Artif. Intell., 2015

An improved optimization algorithm of ads' allocation in sponsored search and the results of experiments.
Autom. Remote. Control., 2015

2013
Optimization of ads allocation in sponsored search.
Proceedings of the 22nd International World Wide Web Conference, 2013

On the Uniform Convergence of the Frequencies of Occurrence of Events to Their Probabilities.
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

Early History of Support Vector Machines.
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2012
Conformal predictors in early diagnostics of ovarian and breast cancers.
Prog. Artif. Intell., 2012

Multiprobabilistic Venn Predictors with Logistic Regression.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

2011
Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression.
NeuroImage, 2011

Problems of Machine Learning.
Proceedings of the Pattern Recognition and Machine Intelligence, 2011

2010
Discussion sur les prédicteurs conformes proposés par Alex Gammerman et Vladimir Vovk.
Monde des Util. Anal. Données, 2010

2009
Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer.
Comput. J., 2009

2003
Sequence alignment kernel for recognition of promoter regions.
Bioinform., 2003

Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel.
Proceedings of the Advances in Intelligent Data Analysis V, 2003

2002
Reconstruction of conditional distribution field based on empirical data.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

2001
A combined Bayes - maximum likelihood method for regression.
Proceedings of the Data Fusion and Perception, 2001


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