Results 41 to 50 of about 1,095,657 (311)
Electrostatic Field Classifier for Deficient Data [PDF]
, 2009 This paper investigates the suitability of recently developed models based on the physical field phenomena for classification problems with incomplete datasets.
Gabrys, Bogdan +3 more
core +1 more source
On the reconstruction of a boundary value problem from incomplete nodal data
, 2023 . In this paper, the reconstruction of a differential operator from incomplete spectral characteristics is concerned. We prove that coefficients of a second-order differential equation with the eigen-parameter appearing at the right-end boundary ...
Shieh, Chung-tsun
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook +6 more
wiley +1 more source
Weighted Fuzzy Clustering Algorithm Based on Dynamic Interval
Jisuanji kexue yu tansuo, 2020 Clustering is widely used in data mining and data analysis, and a great many of troubles have been caused by incomplete data in clustering. Aiming at the inaccurate problem of filling missing attributes with estimation method in incomplete data ...
LUO Hao, WANG Yanjie, NIU Minghang, QIU Cunyue, ZHANG Li
doaj +1 more source
Finding a Cluster in Incomplete Data
CoRR, 2022 We study two variants of the fundamental problem of finding a cluster in incomplete data. In the problems under consideration, we are given a multiset of incomplete $d$-dimensional vectors over the binary domain and integers $k$ and $r$, and the goal is to complete the missing vector entries so that the multiset of complete vectors either contains (i ...
Eduard Eiben +4 more
openaire +5 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási +14 more
wiley +1 more source
Comparison of Algorithms for Clustering Incomplete Data
Foundations of Computing and Decision Sciences, 2014 The missing values are not uncommon in real data sets. The algorithms and methods used for the data analysis of complete data sets cannot always be applied to missing value data.
Matyja Artur, Siminski Krzysztof
doaj +1 more source
Three-Way Ensemble Clustering for Incomplete Data
IEEE Access, 2020 There are many incomplete data sets in all fields of scientific studies due to random noise, data lost, limitations of data acquisition, data misunderstanding etc. Most of the clustering algorithms cannot be used for incomplete data sets directly because
Pingxin Wang, Xiangjian Chen
doaj +1 more source
FEBS Letters, EarlyView.We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Optimizing Skyline Query Processing in Incomplete Data
IEEE Access, 2019 Given the significance of skyline queries, they are incorporated in various modern applications including personalized recommendation systems as well as decision-making and decision-support systems.
Yonis Gulzar +2 more
doaj +1 more source