eprintid: 3141
rev_number: 7
eprint_status: archive
userid: 69
dir: disk0/00/00/31/41
datestamp: 2016-02-26 15:40:04
lastmod: 2016-03-04 08:24:59
status_changed: 2016-02-26 15:40:04
type: monograph
metadata_visibility: show
creators_name: Gnecco, Giorgio
creators_id: giorgio.gnecco@imtlucca.it
title: Symmetric and antisymmetric properties of solutions to kernel-based machine learning problems
ispublished: submitted
subjects: QA75
divisions: CSA
full_text_status: none
monograph_type: working_paper
date: 2016
date_type: submitted
institution: IMT Institute for Advanced Studies Lucca
refereed: FALSE
citation:   Gnecco, Giorgio  Symmetric and antisymmetric properties of solutions to kernel-based machine learning problems.  Working Paper       (Submitted)