Results 41 to 50 of about 1,747,393 (329)

Domain Concept Clustering Method Based on Graph Entropy Extreme Value Theory [PDF]

Jisuanji gongcheng, 2020
In domain ontology learning,in order to implement optimal clustering of concepts of the same domain without concept overlapping,this paper introduces the graph entropy extreme value theory and proposes a domain concept clustering method.According to the ...
AN Jingmin, LI Guanyu
doaj   +1 more source

On Optimization and Extreme Value Theory [PDF]

Methodology And Computing In Applied Probability, 2003
A stochastic optimiser is an algorithm ruled by probabilistic procedures which aims at finding the optimum point of an objective function. The authors study the fit of the optimization outcomes to an extreme value distribution and suggest that the parameters of that distribution characterize the performance of the optimiser.
Hüsler, Jürg, Cruz, João Pedro Antunes Ferreira da, Hall, Andreia, Fonseca, Carlos   +3 more
openaire   +3 more sources

Stereotactic Body Radiation Therapy for Pediatric, Adolescent, and Young Adult Patients With Osteosarcoma: Local Control Outcomes With Dosimetric Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis, Shauna R. Campbell, Jonathan Jang, Eashwar Somasundaram, Chandana A. Reddy, Jacob G. Scott, Lilyana Angelov, Peter M. Anderson, Matteo Trucco, Zachary Burke, Lukas Nystrom, Nathan Mesko, Anthony Magnelli, Erin S. Murphy   +13 more
wiley   +1 more source

Intuitionistic fuzzy probability and two theorems from extreme value theory [PDF]

Notes on IFS
The aim of this contribution is to formulate a variation of Fisher–Tipett–Gnedenko theorem and a variation of Pickand—Balkema—de Haan theorem for intuitionistic fuzzy observables using an intuitionistic fuzzy probability.
Katarína Čunderlíková
doaj   +1 more source

Extreme value theory for moving average processes with light-tailed innovations [PDF]

, 2005
We consider stationary infinite moving average processes of the form $Y_n = \sum c_i Z_{n+i}$, where the sum ranges over the integers, (Z_i) is a sequence of iid random variables with ``light tails'' and (c_i) is a sequence of positive and summable ...
Klüppelberg, Claudia, Lindner, A.
core   +2 more sources

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

An application of extreme value theory in estimating liquidity risk

European Research on Management and Business Economics, 2017
The last global financial crisis (2007–2008) has highlighted the weaknesses of value at risk (VaR) as a measure of market risk, as this metric by itself does not take liquidity risk into account.
Sonia Benito Muela, Carmen López Martín, Raquel Arguedas Sanz   +2 more
doaj   +1 more source

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

FEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source

Characterizing Wind Power Forecast Error Using Extreme Value Theory and Copulas

IEEE Access, 2022
Wind energy is one of the fastest-growing renewable energy sources in the world. However, wind power is variable in all timescales. This variability is difficult to predict with perfect certainty, with potentially significant financial implications when ...
Ndamulelo Mararakanye, Amaris Dalton, Bernard Bekker   +2 more
doaj   +1 more source

Tail Estimates Motivated by Extreme Value Theory [PDF]

The Annals of Statistics, 1984
This paper deals with the problem of estimating the upper tail of a distribution function. The proposed estimator is based on the upper m order statistics from a random sample of size n (m\(\to \infty\), m/n\(\to 0\) as \(n\to \infty)\) and is shown to be consistent for a wide class of distribution functions.
Davis, Richard, Resnick, Sidney
openaire   +3 more sources