Semi-supervised structuring of complex data
dc.contributor.author | Rizoiu, Marian-Andrei | |
dc.coverage.spatial | Beijing China | |
dc.date.accessioned | 2018-11-30T01:19:46Z | |
dc.date.available | 2018-11-30T01:19:46Z | |
dc.date.created | August 3-9 2013 | |
dc.date.issued | 2013 | |
dc.date.updated | 2018-11-29T08:22:19Z | |
dc.description.abstract | The objective of the thesis is to explore how complex data can be treated using unsupervised machine learning techniques, in which additional information is injected to guide the exploratory process. Starting from specific problems, our contributions take into account the different dimensions of the complex data: their nature (image, text), the additional information attached to the data (labels, structure, concept ontologies) and the temporal dimension. A special attention is given to data representation and how additional information can be leveraged to improve this representation. | |
dc.format.mimetype | application/pdf | en_AU |
dc.identifier.isbn | 9781577356332 | |
dc.identifier.uri | http://hdl.handle.net/1885/154181 | |
dc.publisher | AAAI Press | |
dc.relation.ispartofseries | 23rd International Joint Conference on Artificial Intelligence, IJCAI 2013 | |
dc.source | IJCAI International Joint Conference on Artificial Intelligence | |
dc.source.uri | http://ijcai.org/papers13/contents.php | |
dc.subject | Keywords: Complex data; Data representations; Semi-supervised; Specific problems; Temporal dimensions; Unsupervised machine learning; Artificial intelligence; Learning systems | |
dc.title | Semi-supervised structuring of complex data | |
dc.type | Conference paper | |
dcterms.accessRights | Open Access | en_AU |
local.bibliographicCitation.lastpage | 3240 | |
local.bibliographicCitation.startpage | 3239 | |
local.contributor.affiliation | Rizoiu, Marian-Andrei, College of Engineering and Computer Science, ANU | |
local.contributor.authoremail | u5673898@anu.edu.au | |
local.contributor.authoruid | Rizoiu, Marian-Andrei, u5673898 | |
local.description.notes | Imported from ARIES | |
local.description.refereed | Yes | |
local.identifier.absfor | 080201 - Analysis of Algorithms and Complexity | |
local.identifier.absseo | 970108 - Expanding Knowledge in the Information and Computing Sciences | |
local.identifier.ariespublication | a383154xPUB3891 | |
local.identifier.scopusID | 2-s2.0-84896064319 | |
local.identifier.uidSubmittedBy | a383154 | |
local.type.status | Published Version |
Downloads
Original bundle
1 - 1 of 1
Loading...
- Name:
- 01_Rizoiu_Semi-supervised_structuring_of_2013.pdf
- Size:
- 493.42 KB
- Format:
- Adobe Portable Document Format