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A new theoretical angle to semi-supervised output kernel regression for prote...
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Boosting an operator-valued kernel-based model for gene regulatory network in...
International audience -
Nonparametric modeling for gene regulatory network inference using boosting a...
International audience -
Protein-protein interaction network inference using statistical learning
The aim of this thesis is to develop tools for predicting interactions between proteins that can be applied to the human proteins forming a network with the CFTR... -
Online Learning with Multiple Operator-valued Kernels
We consider the problem of learning a vector-valued function f in an online learning setting. The function f is assumed to lie in a reproducing Hilbert space of... -
Operator-valued Kernel-based Vector Autoregressive Models for Network Inference
International audience
