Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mélanie, Blazère"'
Cluster structure detection is a fundamental task for the analysis of graphs, in order to understand and to visualize their functional characteristics. Among the different cluster structure detection methods, spectral clustering is currently one of t
Externí odkaz:
http://arxiv.org/abs/2004.03845
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783319406411
In this paper we propose a new approach to study the properties of the Partial Least Squares (PLS) vector of regression coefficients. This approach relies on the link between PLS and discrete orthogonal polynomials. In fact many important PLS objects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e06c2b02cb0c0308f17291645bae1b8
https://doi.org/10.1007/978-3-319-40643-5_17
https://doi.org/10.1007/978-3-319-40643-5_17
Publikováno v:
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory, 2014, 60 (4), pp.2303-2318
IEEE Transactions on Information Theory, Institute of Electrical and Electronics Engineers, 2014, 60 (4), pp.2303-2318
IEEE Transactions on Information Theory, 2014, 60 (4), pp.2303-2318
IEEE Transactions on Information Theory, Institute of Electrical and Electronics Engineers, 2014, 60 (4), pp.2303-2318
We present a group lasso procedure for generalized linear models (GLMs) and we study the properties of this estimator applied to sparse high-dimensional GLMs. Under general conditions on the covariates and on the joint distribution of the pair covari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5f2f6ab293a8bab2f3cea712800528b
https://hal.science/hal-01980634
https://hal.science/hal-01980634