Results 51 to 60 of about 357,766 (300)
, 2020 In this paper, a problem of selectively choosing a few best interval valued features out of several available features is addressed in an Un-supervised environment. Various models belonging to two categories viz., models which transform interval data to crisp and models which accomplish feature selection through clustering of interval valued features ...
Guru, D. S., Vinay Kumar, N.
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Data-informed fuzzy measures for fuzzy integration of intervals and fuzzy numbers [PDF]
, 2014 The fuzzy integral (FI) with respect to a fuzzy measure (FM) is a powerful means of aggregating information. The most popular FIs are the Choquet and Sugeno, and most research focuses on these two variants.
Anderson, Derek T. +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Chemoimmunotherapy with irinotecan, temozolomide, and dinutuximab (I/T/DIN) has emerged as first‐line therapy for relapsed/refractory (r/r) high‐risk neuroblastoma (HRNB) in North America. Topotecan and cyclophosphamide (T/C) are often used in combination with dinutuximab in the setting of lack of response, progression, or incomplete ...
Benjamin J. Lerman +17 more
wiley +1 more source
Neutrosophic Topp-Leone Distribution for Interval-Valued Data Analysis
Journal of Statistical Theory and Applications (JSTA)Many issues in real life are riddled with confusion, vagueness, and ambiguity. The Topp-Leone distribution is a significant one-parameter probability distribution in the context of classical probability theory.
Muhammad Ahsan-ul-Haq +3 more
doaj +1 more source
Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems
IEEE Access, 2022 In this paper, special attention is paid to the detection and diagnosis of various incipient faults of uncertain wind energy conversion (WEC) systems. The proposals will enhance the monitoring and diagnosis of the WEC system while taking into account the
Majdi Mansouri +3 more
doaj +1 more source
Basic statistics for probabilistic symbolic variables: a novel metric-based approach
, 2013 In data mining, it is usually to describe a set of individuals using some summaries (means, standard deviations, histograms, confidence intervals) that generalize individual descriptions into a typology description. In this case, data can be described by
Irpino, Antonio, Verde, Rosanna
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Clinical Course and Impact of Breaks in Therapy for Children With Relapsed/Refractory Solid Tumors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Pediatric relapsed or refractory (R/R) solid tumors carry a dismal prognosis, and postrelapse patient experiences are not well described. We present postrelapse outcomes, including number of R/R events and subsequent therapy regimens.
Matthew T. McEvoy +5 more
wiley +1 more source
Computation of Support and Confidence for Interval-Valued Fuzzy Association Rules
International Journal of Computational Intelligence Systems, 2020 The aim of this paper is to provide an algorithm for the computation of support and confidence of the association rules on interval-valued fuzzy sets. Each element of the interval-valued fuzzy set has a membership degree defined as an interval.
Michal Burda +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Neuropsychological complications may impair the qualitative prognosis of patients with pediatric brain tumors. However, multifaceted evaluations cannot be conducted in all patients because they are time consuming and burdensome for patients.
Ami Tabata +9 more
wiley +1 more source
Computing discrete logarithm by interval-valued paradigm [PDF]
Electronic Proceedings in Theoretical Computer Science, 2014 Interval-valued computing is a relatively new computing paradigm. It uses finitely many interval segments over the unit interval in a computation as data structure.
Benedek Nagy, Sándor Vályi
doaj +1 more source