Weighted Self-Paced Learning with Belief Functions Article Swipe
Shixing Zhang
,
Deqiang Han
,
Jean Dezert
,
Yi Yang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.2139/ssrn.4798521
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.2139/ssrn.4798521
Related Topics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.2139/ssrn.4798521
- OA Status
- green
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394897551
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4394897551Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2139/ssrn.4798521Digital Object Identifier
- Title
-
Weighted Self-Paced Learning with Belief FunctionsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
Shixing Zhang, Deqiang Han, Jean Dezert, Yi YangList of authors in order
- Landing page
-
https://doi.org/10.2139/ssrn.4798521Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.2139/ssrn.4798521Direct OA link when available
- Concepts
-
Download, Computer science, World Wide Web, Information retrievalTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
26Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4394897551 |
|---|---|
| doi | https://doi.org/10.2139/ssrn.4798521 |
| ids.doi | https://doi.org/10.2139/ssrn.4798521 |
| ids.openalex | https://openalex.org/W4394897551 |
| fwci | 0.0 |
| type | preprint |
| title | Weighted Self-Paced Learning with Belief Functions |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T12072 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9972000122070312 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Machine Learning and Algorithms |
| topics[1].id | https://openalex.org/T12814 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9776999950408936 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Gaussian Processes and Bayesian Inference |
| topics[2].id | https://openalex.org/T12101 |
| topics[2].field.id | https://openalex.org/fields/18 |
| topics[2].field.display_name | Decision Sciences |
| topics[2].score | 0.9745000004768372 |
| topics[2].domain.id | https://openalex.org/domains/2 |
| topics[2].domain.display_name | Social Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1803 |
| topics[2].subfield.display_name | Management Science and Operations Research |
| topics[2].display_name | Advanced Bandit Algorithms Research |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2780154274 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8221806287765503 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q7126717 |
| concepts[0].display_name | Download |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.6949419379234314 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C136764020 |
| concepts[2].level | 1 |
| concepts[2].score | 0.5025413036346436 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q466 |
| concepts[2].display_name | World Wide Web |
| concepts[3].id | https://openalex.org/C23123220 |
| concepts[3].level | 1 |
| concepts[3].score | 0.35869982838630676 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q816826 |
| concepts[3].display_name | Information retrieval |
| keywords[0].id | https://openalex.org/keywords/download |
| keywords[0].score | 0.8221806287765503 |
| keywords[0].display_name | Download |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.6949419379234314 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/world-wide-web |
| keywords[2].score | 0.5025413036346436 |
| keywords[2].display_name | World Wide Web |
| keywords[3].id | https://openalex.org/keywords/information-retrieval |
| keywords[3].score | 0.35869982838630676 |
| keywords[3].display_name | Information retrieval |
| language | en |
| locations[0].id | doi:10.2139/ssrn.4798521 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210172589 |
| locations[0].source.issn | 1556-5068 |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1556-5068 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | SSRN Electronic Journal |
| locations[0].source.host_organization | https://openalex.org/I1318003438 |
| locations[0].source.host_organization_name | RELX Group (Netherlands) |
| locations[0].source.host_organization_lineage | https://openalex.org/I1318003438 |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.2139/ssrn.4798521 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5103058324 |
| authorships[0].author.orcid | https://orcid.org/0009-0001-1920-4172 |
| authorships[0].author.display_name | Shixing Zhang |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Zhang, Shixing |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5024649502 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-5603-796X |
| authorships[1].author.display_name | Deqiang Han |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Han, Deqiang |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5082354765 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-3474-9186 |
| authorships[2].author.display_name | Jean Dezert |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Dezert, Jean |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5012999603 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-9584-3945 |
| authorships[3].author.display_name | Yi Yang |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Yang, Yi |
| authorships[3].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.2139/ssrn.4798521 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Weighted Self-Paced Learning with Belief Functions |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12072 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9972000122070312 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Machine Learning and Algorithms |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W2748952813, https://openalex.org/W2183842793, https://openalex.org/W4255676640, https://openalex.org/W2485259751, https://openalex.org/W4236216870, https://openalex.org/W4243876796, https://openalex.org/W2485273903, https://openalex.org/W2482041988, https://openalex.org/W2497349655 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.2139/ssrn.4798521 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210172589 |
| best_oa_location.source.issn | 1556-5068 |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1556-5068 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | SSRN Electronic Journal |
| best_oa_location.source.host_organization | https://openalex.org/I1318003438 |
| best_oa_location.source.host_organization_name | RELX Group (Netherlands) |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I1318003438 |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.2139/ssrn.4798521 |
| primary_location.id | doi:10.2139/ssrn.4798521 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210172589 |
| primary_location.source.issn | 1556-5068 |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1556-5068 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | SSRN Electronic Journal |
| primary_location.source.host_organization | https://openalex.org/I1318003438 |
| primary_location.source.host_organization_name | RELX Group (Netherlands) |
| primary_location.source.host_organization_lineage | https://openalex.org/I1318003438 |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.2139/ssrn.4798521 |
| publication_date | 2024-01-01 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W2296073425, https://openalex.org/W3000403725, https://openalex.org/W2789880240, https://openalex.org/W3205595867, https://openalex.org/W3133816170, https://openalex.org/W2256388387, https://openalex.org/W6679390333, https://openalex.org/W3126242627, https://openalex.org/W6743309753, https://openalex.org/W3139514168, https://openalex.org/W2132904553, https://openalex.org/W3113331140, https://openalex.org/W3117254402, https://openalex.org/W2736056705, https://openalex.org/W3207329591, https://openalex.org/W6792244340, https://openalex.org/W2963548136, https://openalex.org/W2791766080, https://openalex.org/W880548201, https://openalex.org/W3171054284, https://openalex.org/W3142849873, https://openalex.org/W2744735220, https://openalex.org/W2484913472, https://openalex.org/W2512252310, https://openalex.org/W2132984949, https://openalex.org/W4286567486 |
| referenced_works_count | 26 |
| abstract_inverted_index | |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.05008969 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |