Results 21 to 30 of about 770,979 (259)

A New Meta-Criterion for Regularized Subspace Information Criterion

IEICE Transactions on Information and Systems, 2007
In order to obtain better generalization performance in supervised learning, model parameters should be determined appropriately, i.e., they should be determined so that the generalization error is minimized. However, since the generalization error is inaccessible in practice, the model parameters are usually determined so that an estimator of the ...
Hidaka, Y., Sugiyama, M.
openaire   +1 more source

Information-extremе machine learning for object identification on the terrain [PDF]

Журнал інженерних наук, 2016
The article deals with the usage of a SURF local descriptor of key fragments to create a global descriptor BoF for objects of interest on terrain within task of recognition of armored technique in the controlled territory using images of air ...
V. V. Moskalenko, A. H. Korobov
doaj  

The Pivotal Information Criterion

CoRR
The Bayesian and Akaike information criteria aim at finding a good balance between under- and over-fitting. They are extensively used every day by practitioners. Yet we contend they suffer from at least two afflictions: their penalty parameter $λ=\log n$ and $λ=2$ are too small, leading to many false discoveries, and their inherent (best subset ...
Sylvain Sardy, Maxime van Cutsem, Sara A. van de Geer   +2 more
openaire   +2 more sources

Modeling crude oil price volatility in Nigeria: using GARCH (1,1), EGARCH (1,1), and GJR-GARCH (1,1) models [PDF]

مجلة العلوم التجارية والبيئية
This study investigates the performance of various GARCH models for volatility forecasting, focusing on the GARCH (1,1), EGARCH (1,1), and GJR-GARCH (1,1) frameworks, each tested with normal and Student’s t-distributions.
Frederick A. Omoruyi, Gideon Udenna, Chukwuenyem E. Onyenekwe   +2 more
doaj   +1 more source

Advanced information criterion for environmental data quality assurance [PDF]

Advances in Science and Research, 2012
A new method for testing time series of environmental data for internal inconsistencies is presented. The method divides the dataset into several disjunct blocks.
A. Düsterhus, A. Hense
doaj   +1 more source

A Bayesian Information Criterion for Singular Models [PDF]

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2017
SummaryWe consider approximate Bayesian model choice for model selection problems that involve models whose Fisher information matrices may fail to be invertible along other competing submodels. Such singular models do not obey the regularity conditions underlying the derivation of Schwarz's Bayesian information criterion BIC and the penalty structure ...
Drton, Mathias, Plummer, Martyn
openaire   +2 more sources

The Interpolating Information Criterion for Overparameterized Models

CoRR, 2023
The problem of model selection is considered for the setting of interpolating estimators, where the number of model parameters exceeds the size of the dataset. Classical information criteria typically consider the large-data limit, penalizing model size.
Liam Hodgkinson, Christopher van der Heide, Robert Salomone, Fred Roosta, Michael W. Mahoney   +4 more
openaire   +2 more sources

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
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, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

BAYESIAN FACTOR ANALYSIS AND INFORMATION CRITERION [PDF]

Bulletin of informatics and cybernetics, 2008
Summary: Factor analysis is one of the most popular methods of multivariate statistical analysis. This technique has been widely used in the social and behavioral sciences to explore the covariance structure among observed variables in terms of a few unobservable variables.
Hirose, Kei, Kawano, Shuichi, Konishi, Sadanori   +2 more
openaire   +2 more sources

Health‐Related Social Needs in Children With Sickle Cell Disease Are Associated With Worse Health‐Related Quality of Life

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks, Molly Sonenklar, Cerelia Donald, Cecelia Valrie, Wally Smith, India Sisler   +5 more
wiley   +1 more source