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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... -
Positive Definite Kernel Functions on Fuzzy Sets
Embedding non-vectorial data into a normed vectorial space is very common in machine learning, aiming to perform tasks such classification, regression, clustering and... -
New normality test in high dimension with kernel methods
A new goodness-of-fit test for normality in high-dimension (and Reproducing Kernel Hilbert Space) is proposed. It shares common ideas with the Maximum Mean Discrepancy...
