<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="https://www.bibsonomy.org/concept/tag/modelling"><title>BibSonomy bookmarks for /concept/tag/modelling</title><link>https://www.bibsonomy.org/concept/tag/modelling</link><description>BibSonomy RSS Feed for /concept/tag/modelling</description><items><rdf:Seq><rdf:li rdf:resource="https://arxiv.org/abs/1709.04952"/><rdf:li rdf:resource="https://www.ebsi.umontreal.ca/recherche/colloques-congres-journees-d-etude/isko2008/documents/abstracts/hjorland.pdf"/><rdf:li rdf:resource="https://arxiv.org/abs/2512.21076"/><rdf:li rdf:resource="https://plantnet.org/en/"/><rdf:li rdf:resource="https://link.springer.com/article/10.1007/s41233-017-0009-2"/><rdf:li rdf:resource="https://doi.org/10.1057/kmrp.2009.33"/><rdf:li rdf:resource="https://www.researchgate.net/publication/268360894_Redefining_Sources_as_Social_Acts_Genre_Theory_in_Information_Literacy_Instruction"/><rdf:li rdf:resource="https://www.researchgate.net/publication/347316125_Fiction_Genres_in_Bookstores_and_Libraries_A_Comparison_of_Commercial_and_Professional_Classifications"/><rdf:li rdf:resource="https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.20427"/><rdf:li rdf:resource="https://ijdc.net/ijdc/article/view/13  "/><rdf:li rdf:resource="https://www.isko.org/cyclo/fictional"/><rdf:li rdf:resource="https://www.sciencedirect.com/science/article/pii/S0952197624000587"/><rdf:li rdf:resource="https://link.springer.com/chapter/10.1007/978-3-031-68323-7_3"/><rdf:li rdf:resource="https://biecoll.ub.uni-bielefeld.de/index.php/bieconf/article/download/162/255/252"/><rdf:li rdf:resource="https://www.jstor.org/stable/10.1086/669547"/><rdf:li rdf:resource="https://www.nomos-elibrary.de/10.5771/0943-7444-2006-1-11.pdf"/><rdf:li rdf:resource="https://medium.com/@iryna230520/dynamic-few-shot-prompting-overcoming-context-limit-for-chatgpt-text-classification-2f70c3bd86f9"/><rdf:li rdf:resource="https://zir.nsk.hr/islandora/object/ffzg%3A6914/datastream/PDF/view"/><rdf:li rdf:resource="https://github.com/calico/scBasset"/><rdf:li rdf:resource="https://www.proquest.com/docview/216888557"/></rdf:Seq></items></channel><item rdf:about="https://arxiv.org/abs/1709.04952"><title>Optimal designs for enzyme inhibition kinetic models</title><description>In this paper we present a new method for determining optimal designs for enzyme
inhibition kinetic models</description><link>https://arxiv.org/abs/1709.04952</link><dc:creator>ghenaiet.kh</dc:creator><dc:date>2026-08-17T10:11:13+02:00</dc:date><dc:subject>models individual surface optimal for modelling D-optimal incomplete response reactions coefficients designs enzyme kinetics </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;In this paper we present a new method for determining optimal designs for enzyme
inhibition kinetic models&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/models"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/individual"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/surface"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/optimal"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/for"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/modelling"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/D-optimal"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/incomplete"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/response"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/reactions"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/coefficients"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/designs"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/enzyme"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/kinetics"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.ebsi.umontreal.ca/recherche/colloques-congres-journees-d-etude/isko2008/documents/abstracts/hjorland.pdf"><title>Deliberate bias in Knowledge Organization?</title><description></description><link>https://www.ebsi.umontreal.ca/recherche/colloques-congres-journees-d-etude/isko2008/documents/abstracts/hjorland.pdf</link><dc:creator>tara_buic</dc:creator><dc:date>2026-03-15T21:34:59+01:00</dc:date><dc:subject>knowledge_organization bias classification </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2026-03-15T21:34:59+01:00&#034; href=&#034;https://www.ebsi.umontreal.ca/recherche/colloques-congres-journees-d-etude/isko2008/documents/abstracts/hjorland.pdf&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.ebsi.umontreal.ca/recherche/colloques-congres-journees-d-etude/isko2008/documents/abstracts/hjorland.pdf&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/knowledge_organization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bias"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></rdf:Bag></taxo:topics></item><item rdf:about="https://arxiv.org/abs/2512.21076"><title>Blurb-Refined Inference from Crowdsourced Book Reviews using Hierarchical Genre Mining with Dual-Path Graph Convolutions</title><description></description><link>https://arxiv.org/abs/2512.21076</link><dc:creator>katarinamajdak</dc:creator><dc:date>2026-03-14T10:59:35+01:00</dc:date><dc:subject>organization Genre classification </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2026-03-14T10:59:35+01:00&#034; href=&#034;https://arxiv.org/abs/2512.21076&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://arxiv.org/abs/2512.21076&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/organization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Genre"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></rdf:Bag></taxo:topics></item><item rdf:about="https://plantnet.org/en/"><title>Home - Pl@ntNet</title><description></description><link>https://plantnet.org/en/</link><dc:creator>juliohvargasr</dc:creator><dc:date>2026-02-06T15:39:02+01:00</dc:date><dc:subject>plants classification </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2026-02-06T15:39:02+01:00&#034; href=&#034;https://plantnet.org/en/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://plantnet.org/en/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/plants"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></rdf:Bag></taxo:topics></item><item rdf:about="https://link.springer.com/article/10.1007/s41233-017-0009-2"><title>Survey of research on Quality of Experience modelling for web browsing | Quality and User Experience</title><description>A significant amount of research has been published to date studying various measures and influence factors related to the user experience when browsing We</description><link>https://link.springer.com/article/10.1007/s41233-017-0009-2</link><dc:creator>ivanakovacevic</dc:creator><dc:date>2025-03-23T22:29:37+01:00</dc:date><dc:subject>User_experience Survey Web_browsing Modelling Quality_of_Experience </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;A significant amount of research has been published to date studying various measures and influence factors related to the user experience when browsing We&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/User_experience"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Survey"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Web_browsing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Modelling"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Quality_of_Experience"/></rdf:Bag></taxo:topics></item><item rdf:about="https://doi.org/10.1057/kmrp.2009.33"><title>TaxoFolk: a hybrid taxonomy–folksonomy classification for enhanced knowledge navigation</title><description>Taxonomy is widely used in many of the website and directory navigation schemes for content/knowledge retrieval. However, information or content navigation support through taxonomy is often constrained due to its inability to take into account the full nomenclature and cultural nuances of knowledge seekers. The emergence and increasing adoption of collaborative tagging (social bookmarking) tools have provided lightweight and informal conceptual structures called folksonomies for knowledge retrieval. As for folksonomies, they reflect the vocabulary of the users. Hence, integrating folksonomies into a taxonomy combines the best of the two schemes as the resultant structure enhances taxonomy navigation with personsalisation for knowledge search and retrieval. This paper presents TaxoFolk, an algorithm for deriving hybrid taxonomy-folksonomy classification for enhanced knowledge navigation. The algorithm integrates folksonomy with a taxonomy through several unsupervised data mining techniques with augmented heuristics.</description><link>https://doi.org/10.1057/kmrp.2009.33</link><dc:creator>karinpezelj</dc:creator><dc:date>2025-03-23T19:51:25+01:00</dc:date><dc:subject>library folksonomy taxonomy classification </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Taxonomy is widely used in many of the website and directory navigation schemes for content/knowledge retrieval. However, information or content navigation support through taxonomy is often constrained due to its inability to take into account the full nomenclature and cultural nuances of knowledge seekers. The emergence and increasing adoption of collaborative tagging (social bookmarking) tools have provided lightweight and informal conceptual structures called folksonomies for knowledge retrieval. As for folksonomies, they reflect the vocabulary of the users. Hence, integrating folksonomies into a taxonomy combines the best of the two schemes as the resultant structure enhances taxonomy navigation with personsalisation for knowledge search and retrieval. This paper presents TaxoFolk, an algorithm for deriving hybrid taxonomy-folksonomy classification for enhanced knowledge navigation. The algorithm integrates folksonomy with a taxonomy through several unsupervised data mining techniques with augmented heuristics.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/library"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/folksonomy"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/taxonomy"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.researchgate.net/publication/268360894_Redefining_Sources_as_Social_Acts_Genre_Theory_in_Information_Literacy_Instruction"><title>Redefining Sources as Social Acts: Genre Theory in Information Literacy Instruction</title><description></description><link>https://www.researchgate.net/publication/268360894_Redefining_Sources_as_Social_Acts_Genre_Theory_in_Information_Literacy_Instruction</link><dc:creator>ninakranjcec</dc:creator><dc:date>2025-03-23T16:47:16+01:00</dc:date><dc:subject>genre genre_theory classification </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2025-03-23T16:47:16+01:00&#034; href=&#034;https://www.researchgate.net/publication/268360894_Redefining_Sources_as_Social_Acts_Genre_Theory_in_Information_Literacy_Instruction&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.researchgate.net/publication/268360894_Redefining_Sources_as_Social_Acts_Genre_Theory_in_Information_Literacy_Instruction&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/genre"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/genre_theory"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.researchgate.net/publication/347316125_Fiction_Genres_in_Bookstores_and_Libraries_A_Comparison_of_Commercial_and_Professional_Classifications"><title>Fiction Genres in Bookstores and Libraries: A Comparison of Commercial and Professional Classification </title><description></description><link>https://www.researchgate.net/publication/347316125_Fiction_Genres_in_Bookstores_and_Libraries_A_Comparison_of_Commercial_and_Professional_Classifications</link><dc:creator>petrakucko</dc:creator><dc:date>2025-03-23T15:10:50+01:00</dc:date><dc:subject>bookstores comparison genre libraries classification </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2025-03-23T15:10:50+01:00&#034; href=&#034;https://www.researchgate.net/publication/347316125_Fiction_Genres_in_Bookstores_and_Libraries_A_Comparison_of_Commercial_and_Professional_Classifications&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.researchgate.net/publication/347316125_Fiction_Genres_in_Bookstores_and_Libraries_A_Comparison_of_Commercial_and_Professional_Classifications&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bookstores"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/comparison"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/genre"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/libraries"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></rdf:Bag></taxo:topics></item><item rdf:about="https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.20427"><title>Learning to classify documents according to genre </title><description></description><link>https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.20427</link><dc:creator>petrakucko</dc:creator><dc:date>2025-03-23T15:03:04+01:00</dc:date><dc:subject>library genre learning classification </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2025-03-23T15:03:04+01:00&#034; href=&#034;https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.20427&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.20427&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/library"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/genre"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></rdf:Bag></taxo:topics></item><item rdf:about="https://ijdc.net/ijdc/article/view/13  "><title>Library classification trends </title><description></description><link>https://ijdc.net/ijdc/article/view/13  </link><dc:creator>petrakucko</dc:creator><dc:date>2025-03-23T14:59:59+01:00</dc:date><dc:subject>library genre classification </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2025-03-23T14:59:59+01:00&#034; href=&#034;https://ijdc.net/ijdc/article/view/13  &#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://ijdc.net/ijdc/article/view/13  &lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/library"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/genre"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.isko.org/cyclo/fictional"><title>Fictional literature classification and indexing (IEKO)</title><description></description><link>https://www.isko.org/cyclo/fictional</link><dc:creator>jkelcec</dc:creator><dc:date>2025-03-22T16:27:01+01:00</dc:date><dc:subject>literature documentation document fictional genre indexing classification </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2025-03-22T16:27:01+01:00&#034; href=&#034;https://www.isko.org/cyclo/fictional&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.isko.org/cyclo/fictional&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/literature"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/documentation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/document"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/fictional"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/genre"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/indexing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.sciencedirect.com/science/article/pii/S0952197624000587"><title>Variational Bayesian deep fuzzy models for interpretable classification</title><description></description><link>https://www.sciencedirect.com/science/article/pii/S0952197624000587</link><dc:creator>scch</dc:creator><dc:date>2024-12-17T09:44:22+01:00</dc:date><dc:subject>variational bayesian deep-learning deep model fuzzy classification </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2024-12-17T09:44:22+01:00&#034; href=&#034;https://www.sciencedirect.com/science/article/pii/S0952197624000587&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.sciencedirect.com/science/article/pii/S0952197624000587&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/variational"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bayesian"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/deep-learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/deep"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/fuzzy"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></rdf:Bag></taxo:topics></item><item rdf:about="https://link.springer.com/chapter/10.1007/978-3-031-68323-7_3"><title>Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry</title><description>Central to the digital transformation of the process industry are Digital Twins (DTs), virtual replicas of physical manufacturing systems that combine sensor data with sophisticated data-based or physics-based models, or a combination thereof, to tackle a variety of...</description><link>https://link.springer.com/chapter/10.1007/978-3-031-68323-7_3</link><dc:creator>scch</dc:creator><dc:date>2024-12-12T09:19:54+01:00</dc:date><dc:subject>Learning Methodologies Paradigms Modelling </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Central to the digital transformation of the process industry are Digital Twins (DTs), virtual replicas of physical manufacturing systems that combine sensor data with sophisticated data-based or physics-based models, or a combination thereof, to tackle a variety of...&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Methodologies"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Paradigms"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Modelling"/></rdf:Bag></taxo:topics></item><item rdf:about="https://biecoll.ub.uni-bielefeld.de/index.php/bieconf/article/download/162/255/252"><title>Tagging and Automation – Challenges and Opportunities for Academic Libraries </title><description>comparing and examining the quality of the results of tagging,
intellectual and automated indexing processes</description><link>https://biecoll.ub.uni-bielefeld.de/index.php/bieconf/article/download/162/255/252</link><dc:creator>zivana123</dc:creator><dc:date>2024-03-26T08:08:10+01:00</dc:date><dc:subject>tagging retrieval study visualization comparative technique indexing information classification </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;comparing and examining the quality of the results of tagging,
intellectual and automated indexing processes&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/tagging"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/retrieval"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/study"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/visualization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/comparative"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/technique"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/indexing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/information"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.jstor.org/stable/10.1086/669547"><title>Queering the Catalog: Queer Theory and the Politics of Correction on JSTOR</title><description>Emily Drabinski , Queering the Catalog: Queer Theory and the Politics of Correction, The Library Quarterly: Information, Community, Policy, Vol. 83, No. 2 (April 2013), pp. 94-111</description><link>https://www.jstor.org/stable/10.1086/669547</link><dc:creator>lucijapiljic</dc:creator><dc:date>2024-03-25T14:03:31+01:00</dc:date><dc:subject>queer library cataloging classification theory </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Emily Drabinski , Queering the Catalog: Queer Theory and the Politics of Correction, The Library Quarterly: Information, Community, Policy, Vol. 83, No. 2 (April 2013), pp. 94-111&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/queer"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/library"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/cataloging"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/theory"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.nomos-elibrary.de/10.5771/0943-7444-2006-1-11.pdf"><title>Knowledge Organization: A New Science?</title><description></description><link>https://www.nomos-elibrary.de/10.5771/0943-7444-2006-1-11.pdf</link><dc:creator>lucijajakovic</dc:creator><dc:date>2024-03-23T18:03:32+01:00</dc:date><dc:subject>organization knowledge classification </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2024-03-23T18:03:32+01:00&#034; href=&#034;https://www.nomos-elibrary.de/10.5771/0943-7444-2006-1-11.pdf&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.nomos-elibrary.de/10.5771/0943-7444-2006-1-11.pdf&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/organization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/knowledge"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></rdf:Bag></taxo:topics></item><item rdf:about="https://medium.com/@iryna230520/dynamic-few-shot-prompting-overcoming-context-limit-for-chatgpt-text-classification-2f70c3bd86f9"><title>Dynamic Few-Shot Prompting: Overcoming Context Limit for ChatGPT Text Classification | by Iryna Kondrashchenko | Jun, 2023 | Medium</title><description>Recent explosion in the popularity of large language models like ChatGPT has led to their increased usage in classical NLP tasks like language classification. This involves providing a context…</description><link>https://medium.com/@iryna230520/dynamic-few-shot-prompting-overcoming-context-limit-for-chatgpt-text-classification-2f70c3bd86f9</link><dc:creator>ghagerer</dc:creator><dc:date>2023-06-15T07:50:48+02:00</dc:date><dc:subject>scikit-learn few-shot llms gpt3 zero-shot classification </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Recent explosion in the popularity of large language models like ChatGPT has led to their increased usage in classical NLP tasks like language classification. This involves providing a context…&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/scikit-learn"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/few-shot"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/llms"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/gpt3"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/zero-shot"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></rdf:Bag></taxo:topics></item><item rdf:about="https://zir.nsk.hr/islandora/object/ffzg%3A6914/datastream/PDF/view"><title>Klasifikacija književnih djela popularne fikcije</title><description></description><link>https://zir.nsk.hr/islandora/object/ffzg%3A6914/datastream/PDF/view</link><dc:creator>hanasimunic</dc:creator><dc:date>2023-03-29T15:25:00+02:00</dc:date><dc:subject>fiction popular classification </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2023-03-29T15:25:00+02:00&#034; href=&#034;https://zir.nsk.hr/islandora/object/ffzg%3A6914/datastream/PDF/view&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://zir.nsk.hr/islandora/object/ffzg%3A6914/datastream/PDF/view&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/fiction"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/popular"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></rdf:Bag></taxo:topics></item><item rdf:about="https://github.com/calico/scBasset"><title>calico/scBasset: Sequence-based Modeling of single-cell ATAC-seq using Convolutional Neural Networks.</title><description></description><link>https://github.com/calico/scBasset</link><dc:creator>becker</dc:creator><dc:date>2022-08-10T23:51:17+02:00</dc:date><dc:subject>convolutional code cnn github neural atac network atacseq classification seq </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2022-08-10T23:51:17+02:00&#034; href=&#034;https://github.com/calico/scBasset&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://github.com/calico/scBasset&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/convolutional"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/code"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/cnn"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/github"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/neural"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/atac"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/network"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/atacseq"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/seq"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.proquest.com/docview/216888557"><title>Essential Classification</title><description></description><link>https://www.proquest.com/docview/216888557</link><dc:creator>mateja</dc:creator><dc:date>2022-04-15T21:14:04+02:00</dc:date><dc:subject>retrieval library methods notation classification </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2022-04-15T21:14:04+02:00&#034; href=&#034;https://www.proquest.com/docview/216888557&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.proquest.com/docview/216888557&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/retrieval"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/library"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/methods"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/notation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></rdf:Bag></taxo:topics></item></rdf:RDF>