Results 71 to 80 of about 2,501,945 (313)
Minimising the Kullback–Leibler Divergence for Model Selection in Distributed Nonlinear Systems
Entropy, 2018 The Kullback–Leibler (KL) divergence is a fundamental measure of information geometry that is used in a variety of contexts in artificial intelligence.
Oliver M. Cliff +2 more
doaj +1 more source
Equilibrium Selection in Bargaining Models [PDF]
SSRN Electronic Journal, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ken Binmore +2 more
openaire +2 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
tscount: An R Package for Analysis of Count Time Series Following Generalized Linear Models
Journal of Statistical Software, 2017 The R package tscount provides likelihood-based estimation methods for analysis and modeling of count time series following generalized linear models. This is a flexible class of models which can describe serial correlation in a parsimonious way.
Tobias Liboschik +2 more
doaj +1 more source
Interval selection in the streaming model [PDF]
Theoretical Computer Science, 2015 Minor ...
Sergio Cabello, Pablo Pérez-Lantero
openaire +3 more sources
The Role of Hematopoietic Cell Transplantation in Ataxia‐Telangiectasia
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Ataxia‐telangiectasia (A‐T) is a DNA repair disorder characterized by neurodegeneration, immunodeficiency, and cancer predisposition. Hematopoietic cell transplantation (HCT) is an established therapy in related disorders such as Fanconi anemia (FA) and Nijmegen breakage syndrome (NBS), but its role in A‐T is unclear.
Laila Alkhouli +3 more
wiley +1 more source
A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source
Modelling as Selection of Interpretation. [PDF]
, 2006 Contains fulltext : 32750.pdf (author's version ) (Open Access)
Proper, H.A., Weide, T.P. van der
openaire +2 more sources
An evaluation of simple forecasting model selection rules [PDF]
, 2013 A major problem for many organisational forecasters is to choose the appropriate forecasting method for a large number of data series. Model selection aims to identify the best method of forecasting for an individual series within the data set.
Petropoulos, Fotios, Fildes, Robert
core
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source