Results 51 to 60 of about 15,948,532 (198)
Semi-supervised incremental learning with few examples for discovering medical association rules
BMC Medical Informatics and Decision Making, 2022 Background Association Rules are one of the main ways to represent structural patterns underlying raw data. They represent dependencies between sets of observations contained in the data. The associations established by these rules are very useful in the
Ricardo Sánchez-de-Madariaga +3 more
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Information, 2019 Given its generality in applications and its high time-efficiency on big data-sets, in recent years, the technique of text filtering through pattern matching has been attracting increasing attention from the field of information retrieval and Natural ...
Turdi Tohti +3 more
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Applications of machine learning in information retrieval [PDF]
, 1997 Information retrieval systems provide access to collections of thousands, or millions, of documents, from which, by providing an appropriate description, users can recover any one.
Littin, James +2 more
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A study of untrained models for multimodal information retrieval [PDF]
, 2017 Operational multimodal information retrieval systems have to deal with increasingly complex document collections and queries that are composed of a large set of textual and non-textual modalities such as ratings, prices, timestamps, geographical ...
Martin Braschler +3 more
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, 2022 This chapter outlines some distinctive characteristics of web information retrieval, starting with a broad description of web data and the needs of web searching users, then working through ranking and design issues tliat ...
Hawking, David, Craswell, Nick
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Journal of Big DataGenerative models play a pivotal role in speech and audio generation, and recent advancements have expanded their applications in medical diagnosis. This study provides a comprehensive comparative analysis of various generative models, focusing on their ...
Esraa Hassan, Nora El-Rashidy
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Expressive Resource Descriptions for Ontology-Based Information Retrieval [PDF]
, 2007 Tran DT, Bloehdorn S, Cimiano P, Haase P. Expressive Resource Descriptions for Ontology-Based Information Retrieval. In: Proceedings of the 1st International Conference on the Theory of Information Retrieval (ICTIR’07).
Haase, Peter +3 more
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The derivation of a behavioural model for information retrieval system design. [PDF]
, 1987 This study outlines the derivation of a behavioural model intended to underpin thinking on questions concerning the design of information retrieval systems for academic social scientists.
Ellis, David
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Desensitization of Private Text Dataset Based on Gradient Strategy Trans-WTGAN
Tsinghua Science and TechnologyPrivacy-sensitive data encounter immense security and usability challenges in processing, analyzing, and sharing. Meanwhile, traditional privacy data desensitization methods suffer from issues such as poor quality and low usability after desensitization.
Zhen Guo, Ying Zhou, Jun Ye, Yongxu Hou
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Information Retrieval - From Information Access to Contextual Retrieval
, 2020 Information Retrieval (IR) deals with uncertainty and vagueness in in-formation systems. Uncertainty is caused by the problem of representing the semantics of text and other media, which cannot be done in a perfect way. On the other hands, information needs to be answered by IR systems are often vague and cannot be specified precisely, thus leading to ...
openaire +2 more sources