Results 11 to 20 of about 6,283,315 (292)
Development and Validation of a Clinically Actionable Prediction Model for Postoperative Pulmonary Complications in Cardiac Surgery: A Focus on Modifiable Risk Factors [PDF]
Annals of Rehabilitation MedicineObjective To develop and validate a clinically actionable prediction model for postoperative pulmonary complications (PPCs) in cardiac surgery patients, focusing on modifiable preoperative risk factors amenable to targeted optimization.
Ruoxi Li +8 more
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Active Learning with Statistical Models [PDF]
, 1995 For many types of machine learning algorithms, one can compute the statistically `optimal' way to select training data. In this paper, we review how optimal data selection techniques have been used with feedforward neural networks.
Cohn, D. A. +2 more
core +9 more sources
Worm algorithms for classical statistical models [PDF]
, 2001 We show that high-temperature expansions may serve as a basis for the novel approach to efficient Monte Carlo simulations. "Worm" algorithms utilize the idea of updating closed path configurations (produced by high-temperature expansions) through the ...
Boris Svistunov +18 more
core +3 more sources
Statistical indices from bifactor models
Interacciones, 2017 Many instruments are created with the primary purpose of scaling individuals on a single trait. However psychological traits are often complex and contain domain specific manifestations.
Sergio Alexis Dominguez-Lara +1 more
doaj +1 more source
Statistical models for language representation
Ontare, 2015 ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA This paper discuses several models for the computational representation of language. First, some n-gram models that are based on Markov models are introduced.
Rubén Dorado
doaj +1 more source
On direct sequential analysis of heart rate variability signals [PDF]
Archive of Oncology, 2005 Heart rate variability analysis represents one of the most promising and the most commonly used quantitative measures of the cardiovascular autonomic regulatory system.
Bajić Dragana +2 more
doaj +1 more source
Statistical inference in compound functional models [PDF]
, 2012 We consider a general nonparametric regression model called the compound model. It includes, as special cases, sparse additive regression and nonparametric (or linear) regression with many covariates but possibly a small number of relevant covariates ...
Dalalyan, Arnak +2 more
core +4 more sources
Statistical Models for Corporate Credit Risk Assessment – Rating Models
Acta Universitatis Lodziensis. Folia Oeconomica, 2016 Taking into consideration the weakness of the models based on discrimination function (Z-score) proposed by Altman within the conditions of polish economy some attempts were taken in the 90s to adjust these models to the reality of post-communist economy.
Aneta Ptak-Chmielewska
doaj +1 more source
Statistical Compressed Sensing of Gaussian Mixture Models [PDF]
, 2011 A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribution, and achieving accurate reconstruction on average, is introduced.
Sapiro, Guillermo, Yu, Guoshen
core +2 more sources
Acta Agriculturae Slovenica, 2001 Paper discusses the similarities and differences in predicting the full flowering of apple tree (cv. 'Bobovec'), pear tree (cv. 'Pastorjevka') and domestic plum tree. The study was conducted at University of Ljubljana.
Klemen BERGANT +2 more
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