1 citations · 1 across the 3 of their papers we have counts for
4 papers
Quantum-inspired classification based on quantum state discrimination
Emmanuel Zambrini Cruzeiro, Christine De Mol, Serge Massar +1
We present quantum-inspired algorithms for classification tasks inspired by the problem of quantum state discrimination. By construction, these algorithms can perform multiclass cl…
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14)
L. Jacques, C. De Vleeschouwer, Y. Boursier +64
The implicit objective of the biennial "international - Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST) is to foster collaboration between interna…
A Regularized Method for Selecting Nested Groups of Relevant Genes from Microarray Data
Christine De Mol, Sofia Mosci, Magali Traskine +1
Gene expression analysis aims at identifying the genes able to accurately predict biological parameters like, for example, disease subtyping or progression. While accurate predicti…
Elastic-Net Regularization in Learning Theory
C. De Mol, E. De Vito, L. Rosasco
Within the framework of statistical learning theory we analyze in detail the so-called elastic-net regularization scheme proposed by Zou and Hastie for the selection of groups of c…