Results 41 to 50 of about 975,479 (295)
Fuzzy sets in nonparametric Bayes regression
A simple Bayesian approach to nonparametric regression is described using fuzzy sets and membership functions. Membership functions are interpreted as likelihood functions for the unknown regression function, so that with the help of a reference prior ...
Angers, Jean-François, Delampady, Mohan
core +1 more source
Elliptic membership functions and the modeling uncertainty in type-2 fuzzy logic systems as applied to time series prediction [PDF]
In this paper, our aim is to compare and contrast various ways of modeling uncertainty by using different type-2 fuzzy membership functions available in literature.
Coupland, Simon +3 more
core +1 more source
Certainty of outlier and boundary points processing in data mining
Data certainty is one of the issues in the real-world applications which is caused by unwanted noise in data. Recently, more attentions have been paid to overcome this problem.
Guo, Yanhui +3 more
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Temporal fuzzy association rule mining with 2-tuple linguistic representation [PDF]
This paper reports on an approach that contributes towards the problem of discovering fuzzy association rules that exhibit a temporal pattern. The novel application of the 2-tuple linguistic representation identifies fuzzy association rules in a temporal
Ahmadi, Samad +3 more
core +3 more sources
Subthreshold membership function circuit
A new subthreshold fuzzy logic membership function circuit is proposed which consumes only a small fraction of the current required by our previous design. This lower power consumption will enable the implementation of a modular architecture without incurring prohibitive power consumption penalties.
S. Collins, G.F. Marshall
openaire +1 more source
A new method to construct entropy of interval-valued Neutrosophic Set [PDF]
Interval-valued neutrosophic set (INS) is a generalization of fuzzy set (FS) that is designed for some practical situations in which each element has different truth membership function, indeterminacy membership function and falsity membership function ...
Chunfang Liu, YueSheng Luo
doaj
Functional Mixed Membership Models
Mixed membership models, or partial membership models, are a flexible unsupervised learning method that allows each observation to belong to multiple clusters. In this paper, we propose a Bayesian mixed membership model for functional data. By using the multivariate Karhunen-Loève theorem, we are able to derive a scalable representation of Gaussian ...
Marco, Nicholas +5 more
openaire +3 more sources
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie +4 more
wiley +1 more source
The Gaia-ESO Survey: membership and Initial Mass Function of the Gamma Velorum cluster [PDF]
Understanding the properties of young open clusters, such as the Initial Mass Function (IMF), star formation history and dynamic evolution, is crucial to obtain reliable theoretical predictions of the mechanisms involved in the star formation process. We
Alfaro, E. J. +25 more
core +4 more sources

