نتایج جستجو برای: generalized model

تعداد نتایج: 2230889  

2013
Qiaoluan Li Xiaojing Liu Feifei Cui Weina Li

In this paper, we study the advanced differential equations r(t) x (t) α–1 x (t) + n i=1 p i (t) x(t + τ i (t)) α–1 x(t + τ i (t)) = 0 and r(t)(y(t) – P(t)y(t – τ)) + n i=1 p i (t)f (y(t + σ)) = 0. By using the generalized Riccati transformation and the Schauder-Tyichonoff theorem, we establish the conditions for the existence of positive solutions of the above equations.

2009
Narayanan Unny Edakunni Sethu Vijayakumar

We present a novel ensemble of logistic linear regressors that combines the robustness of online Bayesian learning with the flexibility of ensembles. The ensemble of classifiers are built on top of a Randomly Varying Coefficient model designed for online regression with the fusion of classifiers done at the level of regression before converting it into a class label using a logistic link functi...

2017
Paul Fink Thomas Augustin

Protecting sensitive micro data prior to publishing or passing the data itself on is a crucial aspect: A trade-off between sufficient disclosure control and analyzability needs to be found. This paper presents a starting point to evaluate the effect of k-anonymity microaggregated data in (generalized) linear regression. Taking a rigorous imprecision perspective, microaggregated data are underst...

2007
Jérémy Barbay Ehsan Chiniforooshan Alexander Golynski Jui-Yi Kao Aleh Veraskouski David R. Cheriton

2015
Thomas W. Yee Jakub Stoklosa Richard M. Huggins

It is well known that using individual covariate information (such as body weight or gender) to model heterogeneity in capture–recapture (CR) experiments can greatly enhance inferences on the size of a closed population. Since individual covariates are only observable for captured individuals, complex conditional likelihood methods are usually required and these do not constitute a standard gen...

2007
Andrew McCallum Gideon Mann Gregory Druck

This note describes generalized expectation (GE) criteria, a framework for incorporating preferences about model expectations into parameter estimation objective functions. We discuss relations to other methods, various learning paradigms it supports, and applications that can leverage its flexibility.

2015
Anurag Bishnoi Bart De Bruyn

The research in this paper was motivated by one of the most important open problems in the theory of generalized polygons, namely the existence problem for semi-finite thick generalized polygons. We show here that no semi-finite generalized hexagon of order (2, t) can have a subhexagon H of order 2. Such a subhexagon is necessarily isomorphic to the split Cayley generalized hexagon H(2) or its ...

2003
Naohisa Otsuka

In this paper, new finite numbers of conditions which are equivalent to the so-called generalized invariant subspaces whoes definitions have infinitely many conditions are studied.

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