Results 11 to 20 of about 2,674,866 (251)
Sparse Conformal Predictors [PDF]
, 2009 Conformal predictors, introduced by Vovk et al. (2005), serve to build prediction intervals by exploiting a notion of conformity of the new data point with previously observed data.
Hebiri, Mohamed
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Partitioning predictors in multivariate regression models [PDF]
, 2015 A Multivariate Regression Model Based on the Optimal Partition of Predictors (MRBOP) useful in applications in the presence of strongly correlated predictors is presented.
MARTELLA, Francesca +2 more
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Multinomial Logit Models with Implicit Variable Selection [PDF]
, 2010 Multinomial logit models which are most commonly used for the modeling of unordered multi-category responses are typically restricted to the use of few predictors. In the high-dimensional case maximum likelihood estimates frequently do not exist. In this
Tutz, Gerhard, Zahid, Faisal Maqbool
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, 2005 Cache memories are commonly implemented through multiple memory banks to improve bandwidth and latency. The early knowledge of the data cache bank that an instruction will access can help to improve the performance in several ways.
Bieschewski, Stefan +2 more
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Nonparametric Estimation of the Link Function Including Variable Selection [PDF]
, 2010 Nonparametric methods for the estimation of the link function in generalized linear models are able to avoid bias in the regression parameters. But for the estimation of the link typically the full model, which includes all predictors, has been used ...
Petry, Sebastian, Tutz, Gerhard
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Predictors of employment in bipolar disorder : a systematic review [PDF]
, 2013 Background Severe work impairment can be present for a considerable proportion of the course of bipolar disorder (BD) and is costly for governments, services and individuals.
Bonnín +47 more
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Optimal model-free prediction from multivariate time series [PDF]
, 2015 Forecasting a time series from multivariate predictors constitutes a challenging problem, especially using model-free approaches. Most techniques, such as nearest-neighbor prediction, quickly suffer from the curse of dimensionality and overfitting for ...
Donner, Reik V. +2 more
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Principal Fitted Components for Dimension Reduction in Regression [PDF]
, 2008 We provide a remedy for two concerns that have dogged the use of principal components in regression: (i) principal components are computed from the predictors alone and do not make apparent use of the response, and (ii) principal components are not ...
Cook, R. Dennis, Forzani, Liliana
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Zaporožskij Medicinskij Žurnal, 2022 The aim of the study was to investigate the heterogeneity of phenotypic manifestations of cystic fibrosis (CF) in children depending on the CFTR gene mutation and to determine predictors of the disease severity for the personalization of treatment and ...
K. V. Skriabina +2 more
doaj +1 more source
Nonlinear predictors for systems with bounded trajectories and delayed measurements [PDF]
, 2014 Novel nonlinear predictors are studied for nonlinear systems with delayed measurements without assuming globally Lipschitz conditions or a known predictor map but requiring instead bounded state trajectories. The delay is constant and known.
Bekiaris-Liberis +8 more
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