Étude des produits scalaires sur l'espace des mesures ; Estimation par projections ; Tests à noyaux

By C. Guilbart. 1978

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Carl-Johann Simon-Gabriel
2. Bernhard Schölkopf
3. Kenji Fukumizu
4. Krikamol Muandet
5. Arthur Gretton
6. Bharath K. Sriperumbudur
7. Yoshua Bengio
8. Alex Smola

Citations in the corpus

• Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions (2016, background): “Concerning the study of kernels that metrize the weak convergence of probability measures, in mathematics it dates back at least to Guilbart (1978), but it got introduced into the machine learning community only many years later by Sriperumbudur et al. (2010b).”