Results 61 to 70 of about 357,766 (300)
Symbolic Clustering with Interval-Valued Data
AbstractWhile many clustering techniques for interval-valued data have been proposed, there has been no proposal for a variable selection added fuzzy clustering method for high dimension low sample-size interval-valued data. This paper proposes such a novel fuzzy clustering method for interval-valued data with an adaptable variable selection. There are
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Tree-based Regression for Interval-valued Data
21 pages, 14 ...
Yeh, Chih-Ching, Sun, Yan, Cutler, Adele
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ABSTRACT Background Patients with high‐risk neuroblastoma who either are refractory to induction chemotherapy or relapse following multi‐modal treatment have a dismal prognosis. Based on data from the BEACON trial, since 2021 the UK national guidelines recommend bevacizumab, irinotecan, and temozolomide (BIT) for patients with relapsed/refractory ...
Thomas J. Jackson +20 more
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Multi-source sensor information fusion technology plays an important role in many application fields in the era of “Industry 4.0”. Generally, in practical engineering applications, the obtained information is inevitably uncertain due to the
Jinzhou Lin, Lin Liu, Juncheng Wang
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The correlation coefficient between the two parameters plays a significant part in statistics. Furthermore, the exactness of the assessment of correlation depends upon information from the set of discourses.
Rana Muhammad Zulqarnain +3 more
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Symmetrized Perturbation Determinants and Applications to Boundary Data Maps and Krein-Type Resolvent Formulas [PDF]
The aim of this paper is twofold: On one hand we discuss an abstract approach to symmetrized Fredholm perturbation determinants and an associated trace formula for a pair of operators of positive-type, extending a classical trace formula.
Gesztesy, Fritz, Zinchenko, Maxim
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ABSTRACT Background Alveolar soft part sarcoma (ASPS) is a rare soft tissue sarcoma occurring most commonly in adolescence and young adulthood. Methods We present the clinical characteristics, treatments, and outcomes of patients with newly diagnosed ASPS enrolled on the Children's Oncology Group study ARST0332.
Jacquelyn N. Crane +11 more
wiley +1 more source
Interval-valued process data monitoring and controlling
Statistical process control, a recognized technique for improving quality and productivity, has been widely employed throughout various industries. The conventional Shewhart control charts are applicable only when the collected sample data are real-valued data.
Bi-Min Shu, Jan-Yee Kung, Ming-Hung Shu
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ABSTRACT Background Parents of children treated for acute lymphoblastic leukemia (ALL) often experience significant caregiver burden and disruption to their well‐being. While parent quality of life (QoL) during treatment is well characterized, little is known about outcomes during early survivorship.
Sara Dal Pra +3 more
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As an effective tool to show the fuzziness of qualitative information, the interval-valued T-spherical fuzzy set can utilize three kinds of information, namely, membership, abstinence, and non-membership, to show the opinions of decision-maker.
Chen Lu
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