dc.contributor.author | Taniguchi, A | en |
dc.contributor.author | Taniguchi, T | en |
dc.contributor.author | Cangelosi, A | en |
dc.date.accessioned | 2018-03-28T09:01:17Z | |
dc.date.issued | 2017-12-19 | en |
dc.identifier.issn | 1662-5218 | en |
dc.identifier.other | ARTN 66 | en |
dc.identifier.uri | http://hdl.handle.net/10026.1/11192 | |
dc.language.iso | en | en |
dc.subject | Bayesian model | en |
dc.subject | cross-situational learning | en |
dc.subject | lexical acquisition | en |
dc.subject | multimodal categorization | en |
dc.subject | symbol grounding | en |
dc.subject | word meaning | en |
dc.title | Cross-Situational Learning with Bayesian Generative Models for Multimodal Category and Word Learning in Robots | en |
dc.type | Journal Article | |
plymouth.volume | 11 | en |
plymouth.journal | FRONTIERS IN NEUROROBOTICS | en |
dc.identifier.doi | 10.3389/fnbot.2017.00066 | en |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Research Groups | |
plymouth.organisational-group | /Plymouth/Research Groups/Institute of Health and Community | |
plymouth.organisational-group | /Plymouth/Research Groups/Marine Institute | |
dcterms.dateAccepted | 2017-11-21 | en |
dc.rights.embargodate | 2018-04-11 | en |
dc.rights.embargoperiod | No embargo | en |
rioxxterms.versionofrecord | 10.3389/fnbot.2017.00066 | en |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | en |
rioxxterms.licenseref.startdate | 2017-12-19 | en |
rioxxterms.type | Journal Article/Review | en |