Zobrazeno 1 - 10
of 2 180
pro vyhledávání: '"pattern discovery"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Studies on reinforcement learning have developed the representation of curiosity, which is a type of intrinsic motivation that leads to high performance in a certain type of tasks. However, these studies have not thoroughly examined the internal cogn
Externí odkaz:
https://doaj.org/article/a0a3f46557a4457aa0495eff4db33c2c
Autor:
Jan Franciszek Laskowski, Paweł Tomiło
Publikováno v:
Journal of Modern Science, Vol 54, Iss 5, Pp 355-377 (2023)
Objectives Many research projects, particularly in social science research, depend on clustering survey responses. When analyzing survey data, traditional clustering algorithms have several drawbacks. The ability to analyze survey data more effective
Externí odkaz:
https://doaj.org/article/341f2fb4e063427798c11b3fe93933b4
Akademický článek
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Publikováno v:
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi, Vol 14, Iss 1, Pp 88-102 (2023)
Abstract Classification of text documents can be managed manually by using human-made classification rules. However, as many text document files exist today, the application of machine learning can help to classify the documents more effectively a
Externí odkaz:
https://doaj.org/article/1d2228ecca694af49c29f872ec63ce78
Autor:
Pei-Yuan Zhou, Faith Lum, Tony Jiecao Wang, Anubhav Bhatti, Surajsinh Parmar, Chen Dan, Andrew K. C. Wong
Publikováno v:
Bioengineering, Vol 11, Iss 8, p 770 (2024)
Medical datasets may be imbalanced and contain errors due to subjective test results and clinical variability. The poor quality of original data affects classification accuracy and reliability. Hence, detecting abnormal samples in the dataset can hel
Externí odkaz:
https://doaj.org/article/f6b6e9dbed4947f18549ee1f2e8e3bdd
Akademický článek
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Akademický článek
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Publikováno v:
Transactions of the International Society for Music Information Retrieval, Vol 6, Iss 1, Pp 13–26-13–26 (2023)
Deep Learning methods achieve state-of-the-art in many tasks, including vocal pitch extraction. However, these methods rely on the availability of pitch track annotations without errors, which are scarce and expensive to obtain for Carnatic Music. He
Externí odkaz:
https://doaj.org/article/cbc07560657d47dcb99434500de1f74c
Publikováno v:
Jisuanji kexue, Vol 49, Iss 4, Pp 144-151 (2022)
Unsupervised drift detection for multivariate time series (MTSs) is an important task in machine learning.However, this issue is challenging because the definitions of sequential patterns and their drifts are very flexible.Inspired by the idea of “
Externí odkaz:
https://doaj.org/article/5e02ba5b921643a2961f326a323a0c38
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-7 (2022)
Abstract Background Clinical data repositories (CDR) including electronic health record (EHR) data have great potential for outcome prediction and risk modeling. We built a prediction tool integrated with CDR based on pattern discovery and demonstrat
Externí odkaz:
https://doaj.org/article/c4febda2c9a843e7a519b4d00b97a28d