arXiv Open Access 2017

Structured Sparse Modelling with Hierarchical GP

Danil Kuzin Olga Isupova Lyudmila Mihaylova

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Abstrak

In this paper a new Bayesian model for sparse linear regression with a spatio-temporal structure is proposed. It incorporates the structural assumptions based on a hierarchical Gaussian process prior for spike and slab coefficients. We design an inference algorithm based on Expectation Propagation and evaluate the model over the real data.

Topik & Kata Kunci

stat.ML

Penulis (3)

Danil Kuzin

Olga Isupova

Lyudmila Mihaylova

Format Sitasi

APA MLA BibTeX

Kuzin, D., Isupova, O., Mihaylova, L. (2017). Structured Sparse Modelling with Hierarchical GP. https://arxiv.org/abs/1704.08727

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Informasi Jurnal

Tahun Terbit: 2017
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓