arXiv Open Access 2021

Probability-Generating Function Kernels for Spherical Data

Theodore Papamarkou Alexey Lindo

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Abstrak

Probability-generating function (PGF) kernels are introduced, which constitute a class of kernels supported on the unit hypersphere, for the purposes of spherical data analysis. PGF kernels generalize RBF kernels in the context of spherical data. The properties of PGF kernels are studied. A semi-parametric learning algorithm is introduced to enable the use of PGF kernels with spherical data.

Topik & Kata Kunci

stat.ML cs.LG

Penulis (2)

Theodore Papamarkou

Alexey Lindo

Format Sitasi

APA MLA BibTeX

Papamarkou, T., Lindo, A. (2021). Probability-Generating Function Kernels for Spherical Data. https://arxiv.org/abs/2112.00365

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Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓