نتایج جستجو برای: order variance estimation (fove) method

تعداد نتایج: 2590791  

Journal: :journal of agricultural science and technology 2010
j. m. v. samani a. soleimani

detention rockfill dams are an easy and common tool for flood control. due to their coarse pores, the flow in void spaces is turbulent and non-darcy. different relationships introduced by researchers are used to define the hydraulics of the flow within the rockfill materials. the present research is aimed at gaining a better understanding of the differ-ence among these relationships and the sou...

Journal: :Journal of Water Resources Planning and Management 2022

In this study, three different stormwater control measures (SCMs) pollutant removal models, consisting of the linear regression model, modified Fair and Geyer (MFG) k-C* were simulated under both steady-state dynamic hydraulic conditions to evaluate how applying those models a modeling framework will affect outputs. Uncertainty SCM was also evaluated using Monte Carlo (MC) first-order variance ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تحصیلات تکمیلی علوم پایه زنجان - دانشکده شیمی 1391

in this thesis a calibration transfer method is used to achieve bilinearity for augmented first order kinetic data. first, the proposed method is investigated using simulated data and next the concept is applied to experimental data. the experimental data consists of spectroscopic monitoring of the first order degradation reaction of carbaryl. this component is used for control of pests in frui...

2011
Udi Apsel Ronen I. Brafman

The First-Order Variable Elimination (FOVE) algorithm allows exact inference to be applied directly to probabilistic relational models, and has proven to be vastly superior to the application of standard inference methods on a grounded propositional model. Still, FOVE operators can be applied under restricted conditions, often forcing one to resort to propositional inference. This paper aims to...

2008
Brian Milch Luke S. Zettlemoyer Kristian Kersting Michael Haimes Leslie Pack Kaelbling

Lifted inference algorithms exploit repeated structure in probabilistic models to answer queries efficiently. Previous work such as de Salvo Braz et al.’s first-order variable elimination (FOVE) has focused on the sharing of potentials across interchangeable random variables. In this paper, we also exploit interchangeability within individual potentials by introducing counting formulas, which i...

2006
Rodrigo de Salvo Braz Eyal Amir Dan Roth

It is often convenient to represent probabilistic models in a first-order fashion, using logical atoms such as partners(X,Y ) as random variables parameterized by logical variables. (de Salvo Braz, Amir, & Roth 2005), following (Poole 2003), give a lifted variable elimination algorithm (FOVE) for computing marginal probabilities from first-order probabilistic models (belief assessment, or BA). ...

Journal: :Journal of applied physiology 1997
C K Sen M Atalay J Agren D E Laaksonen S Roy O Hänninen

Fish oil supplementation and physical exercise may induce oxidative stress. We tested the effects of 8 wk of alpha-tocopherol (vitamin E) and fish oil (FO) supplementation on resting and exercise-induced oxidative stress. Rats (n = 80) were divided into groups supplemented with FO, FO and vitamin E (FOVE), soy oil (SO), and SO and vitamin E (SOVE), and for FOVE and SOVE they were divided into c...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه بیرجند - دانشکده ادبیات و علوم انسانی 1392

in new management approaches, in the organizations with inflexible structure, existing of red tapes and interruptions caused by limitations and also non-compliance with environmental changes, create demotivation among staff. with regard to the influence of job motivational potential and its relationship to the type of organizational structure( enabling and dissuasive), the goal of this research...

2009
Jacek Kisynski David Poole

As exact inference for first-order probabilistic graphical models at the propositional level can be formidably expensive, there is an ongoing effort to design efficient lifted inference algorithms for such models. This paper discusses directed first-order models that require an aggregation operator when a parent random variable is parameterized by logical variables that are not present in a chi...

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