{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/turkpf-turkontrol-as-a-particle-filter","title":"TurKPF: TurKontrol as a Particle Filter","arxiv_id":"1404.5078","date":"2014-04-20","proceeding":null,"authors":["Ethan Petuchowski","Matthew Lease"],"abstract":"TurKontrol, and algorithm presented in (Dai et al. 2010), uses a POMDP to\nmodel and control an iterative workflow for crowdsourced work. Here, TurKontrol\nis re-implemented as \"TurKPF,\" which uses a Particle Filter to reduce\ncomputation time & memory usage. Most importantly, in our experimental\nenvironment with default parameter settings, the action is chosen nearly\ninstantaneously. Through a series of experiments we see that TurKPF and\nTurKontrol perform similarly.","url_abs":"http://arxiv.org/abs/1404.5078v1","url_pdf":"http://arxiv.org/pdf/1404.5078v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"turkpf-turkontrol-as-a-particle-filter","repo_url":"https://github.com/ethanp/crowdsourcing","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}