Risk bounds for mixture density estimation
ESAIM: PS, 9 (2005) 220-229
Published online: 2005-11-15
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems
Filippo Fedeli, Alberto Maria Metelli, Francesco Trovò and Marcello RestelliIEEE Transactions on Neural Networks and Learning Systems 34 (10) 6813 (2023)
https://doi.org/10.1109/TNNLS.2023.3265524
A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models
TrungTin Nguyen, Hien Duy Nguyen, Faicel Chamroukhi and Florence ForbesElectronic Journal of Statistics 16 (2) (2022)
https://doi.org/10.1214/22-EJS2057
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors
Florence Forbes, Hien Duy Nguyen, TrungTin Nguyen and Julyan ArbelStatistics and Computing 32 (5) (2022)
https://doi.org/10.1007/s11222-022-10155-6
Information Fusion
Jinxing Li, Bob Zhang and David ZhangInformation Fusion 175 (2022)
https://doi.org/10.1007/978-981-16-8976-5_6
Effectiveness of symmetric rejection for a secure and user convenient multistage biometric system
Md S. Hossain, Kiran S. Balagani and Vir V. PhohaPattern Analysis and Applications 24 (1) 49 (2021)
https://doi.org/10.1007/s10044-020-00899-0
Unregularized Online Algorithms with Varying Gaussians
Baobin Wang and Ting HuConstructive Approximation 53 (3) 403 (2021)
https://doi.org/10.1007/s00365-021-09536-3
Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models
Hien Duy Nguyen, TrungTin Nguyen, Faicel Chamroukhi and Geoffrey John McLachlanJournal of Statistical Distributions and Applications 8 (1) (2021)
https://doi.org/10.1186/s40488-021-00125-0
Approximation by finite mixtures of continuous density functions that vanish at infinity
T. Tin Nguyen, Hien D. Nguyen, Faicel Chamroukhi, Geoffrey J. McLachlan and Lishan LiuCogent Mathematics & Statistics 7 (1) 1750861 (2020)
https://doi.org/10.1080/25742558.2020.1750861
On approximations via convolution-defined mixture models
Hien D. Nguyen and Geoffrey McLachlanCommunications in Statistics - Theory and Methods 48 (16) 3945 (2019)
https://doi.org/10.1080/03610926.2018.1487069
Computer Vision – ECCV 2018
Sagie Benaim, Tomer Galanti and Lior WolfLecture Notes in Computer Science, Computer Vision – ECCV 2018 11209 222 (2018)
https://doi.org/10.1007/978-3-030-01228-1_14
1 (2018)
https://doi.org/10.1109/ISNCC.2018.8530995
On enhancing serial fusion based multi-biometric verification system
Md Hossain, Jundong Chen and Khandaker RahmanApplied Intelligence 48 (12) 4824 (2018)
https://doi.org/10.1007/s10489-018-1257-4
SIEVE ESTIMATION OF THE MINIMAL ENTROPY MARTINGALE MARGINAL DENSITY WITH APPLICATION TO PRICING KERNEL ESTIMATION
DENIS BELOMESTNY, WOLFGANG KARL HÄRDLE and EKATERINA KRYMOVAInternational Journal of Theoretical and Applied Finance 20 (06) 1750041 (2017)
https://doi.org/10.1142/S0219024917500418
Advances in Artificial Intelligence: From Theory to Practice
Md Shafaeat Hossain and Khandaker Abir RahmanLecture Notes in Computer Science, Advances in Artificial Intelligence: From Theory to Practice 10350 249 (2017)
https://doi.org/10.1007/978-3-319-60042-0_29
RABOC: An approach to handle class imbalance in multimodal biometric authentication
Quang Duc Tran and Panos LiatsisNeurocomputing 188 167 (2016)
https://doi.org/10.1016/j.neucom.2014.12.126
Greedy algorithms for prediction
Alessio SancettaBernoulli 22 (2) (2016)
https://doi.org/10.3150/14-BEJ691
Adaptive weighted fusion: A novel fusion approach for image classification
Yong Xu and Yuwu LuNeurocomputing 168 566 (2015)
https://doi.org/10.1016/j.neucom.2015.05.070
Combining biometric matchers by means of machine learning and statistical approaches
Loris Nanni, Alessandra Lumini, Matteo Ferrara and Raffaele CappelliNeurocomputing (2014)
https://doi.org/10.1016/j.neucom.2014.08.021
Consistency and Generalization Bounds for Maximum Entropy Density Estimation
Shaojun Wang, Russell Greiner and Shaomin WangEntropy 15 (12) 5439 (2013)
https://doi.org/10.3390/e15125439
A Recursive Algorithm for Mixture of Densities Estimation
Alessio SancettaIEEE Transactions on Information Theory 59 (10) 6893 (2013)
https://doi.org/10.1109/TIT.2013.2272456
Radiation-Induced Processes of Adaptation
Victoria L. Korogodina, Boris V. Florko and Ludmila P. OsipovaRadiation-Induced Processes of Adaptation 151 (2013)
https://doi.org/10.1007/978-94-007-6630-3_8
The optimal solution of multi-kernel regularization learning
Hong Wei Sun and Ping LiuActa Mathematica Sinica, English Series 29 (8) 1607 (2013)
https://doi.org/10.1007/s10114-013-0675-9
Radiobiology and Environmental Security
V. L. Korogodina, B. V. Florko and L. P. OsipovaNATO Science for Peace and Security Series C: Environmental Security, Radiobiology and Environmental Security 163 (2012)
https://doi.org/10.1007/978-94-007-1939-2_15
REGULARIZED LEAST SQUARE ALGORITHM WITH TWO KERNELS
HONGWEI SUN and PING LIUInternational Journal of Wavelets, Multiresolution and Information Processing 10 (05) 1250043 (2012)
https://doi.org/10.1142/S0219691312500439
Vehicular Traffic Density State Estimation Based on Cumulative Road Acoustics
Vivek Tyagi, Shivkumar Kalyanaraman and Raghuram KrishnapuramIEEE Transactions on Intelligent Transportation Systems 13 (3) 1156 (2012)
https://doi.org/10.1109/TITS.2012.2190509
Analysis of error propagation in particle filters with approximation
Boris N. Oreshkin and Mark J. CoatesThe Annals of Applied Probability 21 (6) (2011)
https://doi.org/10.1214/11-AAP760
1027 (2011)
https://doi.org/10.1109/ISIT.2011.6033685
Likelihood ratio based features for a trained biometric score fusion
Loris Nanni, Alessandra Lumini and Sheryl BrahnamExpert Systems with Applications 38 (1) 58 (2011)
https://doi.org/10.1016/j.eswa.2010.06.006
Multimodal Biometric Score Fusion Using Gaussian Mixture Model and Monte Carlo Method
R Raghavendra, Rao Ashok and G Hemantha KumarJournal of Computer Science and Technology 25 (4) 771 (2010)
https://doi.org/10.1007/s11390-010-9364-7
https://doi.org/10.1002/9780470425671.refs
247 (2008)
https://doi.org/10.1109/ITW.2008.4578660
Likelihood Ratio-Based Biometric Score Fusion
K. Nandakumar, Yi Chen, S.C. Dass and A.K. JainIEEE Transactions on Pattern Analysis and Machine Intelligence 30 (2) 342 (2008)
https://doi.org/10.1109/TPAMI.2007.70796
Analysis of the distribution structure as exemplified by one cytogenetic problem
B. V. Florko and V. L. KorogodinaPhysics of Particles and Nuclei Letters 4 (4) 331 (2007)
https://doi.org/10.1134/S1547477107040073
Multi-kernel regularized classifiers
Qiang Wu, Yiming Ying and Ding-Xuan ZhouJournal of Complexity 23 (1) 108 (2007)
https://doi.org/10.1016/j.jco.2006.06.007
Density estimation with stagewise optimization of the empirical risk
Jussi KlemeläMachine Learning 67 (3) 169 (2007)
https://doi.org/10.1007/s10994-006-5000-8
Topics in Multivariate Approximation and Interpolation
Qiang Wu, Yiming Ying and Ding-Xuan ZhouStudies in Computational Mathematics, Topics in Multivariate Approximation and Interpolation 12 257 (2006)
https://doi.org/10.1016/S1570-579X(06)80011-X