Convex multi-task feature learning, Machine Learning Journal, 2008. ,
Bolasso: model consistent Lasso estimation through the bootstrap, Proceedings of the 25th international conference on Machine learning, pp.33-40, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00271289
A fast iterative shrinkage-thresholding algorithm for linear inverse problems, SIAM J. Img. Sci, vol.2, issue.1, pp.183-202, 2009. ,
Bocop-A collection of examples, INRIA, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-00726992
Classification and regression trees, 1984. ,
Multitask learning, Machine Learning, vol.28, pp.41-75, 1997. ,
Block-relaxation algorithms in statistics, Information systems and data analysis, pp.308-324, 1994. ,
Additive structure in qualitative data: An alternating least squares method with optimal scaling features, Psychometrika, vol.41, issue.4, pp.471-503, 1976. ,
Least angle regression, The Annals of Statistics, vol.32, pp.407-499, 2004. ,
Learning multiple tasks with kernel methods, Journal Machine Learning Research, vol.6, pp.615-637, 2005. ,
, , 2010.
Biconvex sets and optimization with biconvex functions: a survey and extensions, Mathematical methods of operations research, vol.66, issue.3, pp.373-407, 2007. ,
An introduction to variable and feature selection, Journal of machine learning research, vol.3, pp.1157-1182, 2003. ,
The Elements of Statistical Learning, 2009. ,
, STRUCTURED MULTI-TASK FEATURE SELECTION
Application of ridge analysis to regression problems, Chemical Engineering Progress, vol.58, pp.54-59, 1962. ,
Multi-task feature selection, ICML-06 Workshop on Structural Knowledge Transfer for Machine Learning, 2006. ,
Group Lasso with Overlaps: the Latent Group Lasso approach, 2011. ,
URL : https://hal.archives-ouvertes.fr/inria-00628498
Scikit-learn: Machine learning in Python, JMLR, vol.12, pp.2825-2830, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00650905
Block sparse linear models for learning structured dynamical systems in aeronautics, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01816400
Pour une approche analytique de la dynamique du, SUPAERO, 2005. ,
Minimization methods for non-differentiable functions, 1985. ,
Regression shrinkage and selection via the Lasso, Journal of the Royal Statistical Society, vol.58, pp.267-288, 1994. ,
On the stability of inverse problems, Doklady Akademii Nauk SSSR, vol.39, pp.195-198, 1943. ,
1-regularization in high-dimensional statistical models, Proceedings of the International Congress of Mathematicians 2010 (ICM 2010), vol.4, pp.2351-2369, 2010. ,
Coordinate descent algorithms for lasso penalized regression, The Annals of Applied Statistics, vol.2, issue.1, pp.224-244, 2008. ,
Model selection and estimation in regression with grouped variables, Journal of the Royal Statistical Society, vol.68, pp.49-67, 2005. ,
On model selection consistency of Lasso, Journal of Machine learning research, vol.7, pp.2541-2563, 2006. ,
The adaptive Lasso and its oracle properties, Journal of the American Statistical Association, vol.101, pp.1418-1429, 2006. ,
Regularization and variable selection via the elastic net, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.67, issue.2, pp.301-320, 2005. ,
Self-consistent method for density estimation, Journal of the Royal Statistical Society, vol.73, issue.3, pp.407-422, 2011. ,
Nonparametric statistics for stochastic processes: estimation and prediction, vol.110, 2012. ,
Combination of optimal control approaches for aircraft conflict avoidance via velocity regulation, Optimal Control Applications and Methods, vol.39, issue.1, pp.181-203, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01575705
An algorithm for the machine calculation of complex Fourier series, Mathematics of Computation, vol.19, pp.297-301, 1965. ,
Direct and indirect methods in optimal control with state constraints and the climbing trajectory of an aircraft, Optimal Control Applications and Methods, vol.39, issue.1, pp.281-301, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01367918
A note on inverse moments of binomial variates, Brazilian Review of Econometrics, vol.20, pp.269-277, 2000. ,
Kernel density estimator in an infinite-dimensional space with a rate of convergence in the case of diffusion process, Applied mathematics letters, vol.17, issue.4, pp.381-386, 2004. ,
On the using of modal curves for radar waveforms classification, Computational Statistics & Data Analysis, vol.51, issue.10, pp.4878-4890, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00635607
Fast Fourier Transforms for Nonequispaced Data, SIAM Journal on Scientific Computing, vol.14, issue.6, pp.1368-1393, 1993. ,
Curves discrimination: a nonparametric functional approach, Computational Statistics & Data Analysis, vol.44, issue.1-2, pp.161-173, 2003. ,
Correction of density estimators that are not densities, Scandinavian Journal of Statistics, vol.30, issue.2, pp.415-427, 2003. ,
Accelerating the Nonuniform Fast Fourier Transform, SIAM Review, vol.46, issue.3, pp.443-454, 2004. ,
Grouped variable importance with random forests and application to multiple functional data analysis, Computational Statistics & Data Analysis, vol.90, pp.15-35, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01935926
Estimating and depicting the structure of a distribution of random functions, Biometrika, vol.89, issue.1, pp.145-158, 2002. ,
, Chapter 5, PROBABILISTIC TRAJECTORY ASSESSMENT
Lecture notes on "Mouvement brownien et calcul stochastique, 2007. ,
A least-squares approach to direct importance estimation, Journal of Machine Learning Research, vol.10, pp.1391-1445, 2009. ,
Optimal approach minimizing aircraft noise and fuel consumption, Acta acustica united with Acustica, vol.96, issue.1, pp.68-75, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00987246
A Python Package for Density Ratio Estimation, 2016. ,
Singular arc time-optimal climb trajectory of aircraft in a two-dimensional wind field, Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, p.6598, 2006. ,
Functional principal component analysis of aircraft trajectories, Proceedings of the 2nd International Conference on Interdisciplinary Science for Innovative Air Traffic Management (ISIATM), 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00867957
Reducing the Computational Cost of the ECF Using a nuFFT: A Fast and Objective Probability Density Estimation Method, Computational Statistics & Data Analysis, vol.79, pp.222-234, 2014. ,
A fast and objective multidimensional kernel density estimation method: fastkde, Computational Statistics & Data Analysis, vol.101, pp.148-160, 2016. ,
On estimation of a probability density function and mode. The annals of mathematical statistics, vol.33, pp.1065-1076, 1962. ,
Scikit-learn: Machine learning in Python, JMLR, vol.12, pp.2825-2830, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00650905
Nonparametric density estimation for functional data via wavelets, Communications in Statistics-Theory and Methods, vol.39, issue.8-9, pp.1608-1618, 2010. ,
Nonparametric density estimation for functional data by delta sequences, Brazilian Journal of Probability and Statistics, vol.24, issue.3, pp.468-478, 2010. ,
Applied functional data analysis: methods and case studies, 2007. ,
Quantifying the closeness to a set of random curves via the mean marginal likelihood ,
URL : https://hal.archives-ouvertes.fr/hal-01816407
Remarks on some nonparametric estimates of a density function, The Annals of Mathematical Statistics, pp.832-837, 1956. ,
Multivariate density estimation: theory, practice, and visualization, 2015. ,
Density Estimation for Statistics and Data Analysis, 1986. ,
An asymptotically optimal window selection rule for kernel density estimates, The Annals of Statistics, vol.12, issue.4, pp.1285-1297, 1984. ,
Conditional density estimation via least-squares density ratio estimation, Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, pp.781-788, 2010. ,
Introduction to Nonparametric Estimation, 2008. ,
All of statistics: a concise course in statistical Inference. Springer texts in statistics, 2004. ,
On the estimation of the probability density, The Annals of Mathematical Statistics, vol.34, issue.2, pp.480-491, 1963. ,
Bocop-A collection of examples, INRIA, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-00726992
Solving chance constrained optimal control problems in aerospace via Kernel Density Estimation, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01507063
Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society. Series B (methodological), pp.1-38, 1977. ,
Least squares quantization in PCM, IEEE transactions on information theory, vol.28, issue.2, pp.129-137, 1982. ,
Reducing the Computational Cost of the ECF Using a nuFFT: A Fast and Objective Probability Density Estimation Method, Computational Statistics & Data Analysis, vol.79, pp.222-234, 2014. ,
A fast and objective multidimensional kernel density estimation method: fastkde, Computational Statistics & Data Analysis, vol.101, pp.148-160, 2016. ,
Scikit-learn: Machine learning in Python, JMLR, vol.12, pp.2825-2830, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00650905
Gaussian mixture penalty for trajectory optimization problems, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01819749
Estimating the dimension of a model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978. ,
An introduction to the EM algorithm, motivated by Gaussian mixture models, 2014. ,
On convergence properties of the EM algorithm for Gaussian mixtures, Neural computation, vol.8, issue.1, pp.129-151, 1996. ,
Bolasso: model consistent Lasso estimation through the bootstrap, Proceedings of the 25th international conference on Machine learning, pp.33-40, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00271289
Self-consistent method for density estimation, Journal of the Royal Statistical Society, vol.73, issue.3, pp.407-422, 2011. ,
Multitask learning, Machine Learning, vol.28, pp.41-75, 1997. ,
, On the sample complexity of the linear quadratic regulator, 2017.
Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society. Series B (methodological), pp.1-38, 1977. ,
Flight Vehicle System Identification: A Time Domain Methdology, 2006. ,
Network-constrained regularization and variable selection for analysis of genomic data, Bioinformatics, vol.24, issue.9, pp.1175-1182, 2008. ,
Reducing the Computational Cost of the ECF Using a nuFFT: A Fast and Objective Probability Density Estimation Method, Computational Statistics & Data Analysis, vol.79, pp.222-234, 2014. ,
A fast and objective multidimensional kernel density estimation method: fastkde, Computational Statistics & Data Analysis, vol.101, pp.148-160, 2016. ,
Identification of Parametric Models from Experimental Data, 1997. ,