Results 61 to 70 of about 6,440,632 (323)
Entropic Priors and Bayesian Model Selection
, 2009 We demonstrate that the principle of maximum relative entropy (ME), used judiciously, can ease the specification of priors in model selection problems. The resulting effect is that models that make sharp predictions are disfavoured, weakening the usual ...
Brendon J. Brewer +3 more
core +1 more source
Parent‐to‐Child Information Disclosure in Pediatric Oncology
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor +12 more
wiley +1 more source
Sociobiology, 2013 We assessed the effect of conditions and resources on the species richness of epigaeic ants in a cloud forest of the Ibitipoca State Park, Brazil. We hypothesized that the characteristics that are best related with the epigaeic microhabitat affects ant ...
Antonio Cesar Medeiros de Queiroz +2 more
doaj
Intelligent Arabic Handwriting Recognition Using Different Standalone and Hybrid CNN Architectures
Applied Sciences, 2022 Handwritten character recognition is a computer-vision-system problem that is still critical and challenging in many computer-vision tasks. With the increased interest in handwriting recognition as well as the developments in machine-learning and deep ...
Waleed Albattah, Saleh Albahli
doaj +1 more source
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 +6 more
wiley +1 more source
A New Motion Model Selection Approach for Multi-Model Particle Filters [PDF]
Radioengineering, 2019 One of the important factors in real-time tracking of the moving radar targets is the speed of the algorithm. In the multi-model particle filters (MMPFs) which is frequently preferred tracking of such targets, the numbers of particles and motion models ...
M. B. Ucar, D. Yilmaz
doaj
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
The Loss Rank Principle for Model Selection
, 2006 We introduce a new principle for model selection in regression and classification. Many regression models are controlled by some smoothness or flexibility or complexity parameter c, e.g.
A. Reusken +5 more
core +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez +13 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