نتایج جستجو برای: preference modeling

تعداد نتایج: 452993  

Journal: :Proceedings of the National Academy of Sciences of the United States of America 1995
R Chen A Greer A M Dean

The isocitrate dehydrogenase of Escherichia coli, which lacks the Rossmann fold common to other dehydrogenases, displays a 7000-fold preference for NADP over NAD (calculated as the ratio of kcat/Km). Guided by x-ray crystal structures and molecular modeling, site-directed mutagenesis has been used to introduce six substitutions in the adenosine binding pocket that systematically shift coenzyme ...

2006
Wilfred Ng

The notion of user preference in database modeling has recently received much attention in advanced applications, such as personalization of e-services, since it captures the human wishes on querying and managing data. The paradigm of preference-driven choices in the real world requires new semantic constraints in modelling. In this paper, we assume preference constraints can be defined over da...

2007
Erin MacDonald Richard Gonzalez Panos Papalambros

Research from behavioral psychology and experimental economics asserts that individuals construct preferences on a case-by-case basis when called to make a decision. A common, implicit assumption in engineering design is that user preferences exist a priori. Thus, preference elicitation methods used in design decision making can lead to preference inconsistencies across elicitation scenarios. T...

2009
Arif WISMADI Mark BRUSSEL

Equity based resource allocation under budget-constrained schemes always deal with priority targeting. This mechanism requires the use of equity measurement as important input for the decision-making process. Available equity measures such as the Gini Index more focus on equality measurement, which also disregards spatial features. It is therefore insufficient to determine priority setting for ...

2012
Sergei Obiedkov

We present an approach to preference modeling and learning preferences from data based on formal concept analysis. We consider techniques to derive preferences over attribute subsets from preferences over objects, including ceteris paribus preferences.

2010
Andrea Carbone Fiora Pirri

In this work we present a biologically motivated framework for the modeling of the visual scene exploration preference. We aim at capturing the statistical patterns that are elicited by the subjective visual selection and reproduce them via a computational system.

Journal: :مدیریت بازرگانی 0
محمد موسی خانی استادیار دانشکده مدیریت، دانشگاه تهران محمد حقیقی دانشیار دانشکده مدیریت، دانشگاه تهران سمانه ترک زاده کارشناس ارشد مدیریت بازرگانی، دانشگاه مدیریت، دانشگاه تهران

according to the importance of customer in competitive environment, especially in banking industry, regarding that the cost of catching (attracting) new customers is several times higher than the cost of keep customer loyal to organization, cause that examining ways of becoming loyal customer to product (goods/ services) has high preference in market research. this research, shows that we can c...

2009
Gudrun Kellner

A new method for user modeling is examined, assuming that the information on the individual perceptual preference is encoded in every text the user is producing; the choice of expression may be considered as the cue.

In this paper, we first use a fuzzy preference relation with a membership function representing preference degree forcomparing two interval-valued fuzzy numbers and then utilize a relative preference relation improved from the fuzzypreference relation to rank a set of interval-valued fuzzy numbers. Since the fuzzy preference relation is a total orderingrelation that satisfies reciprocal and tra...

2001
Donald E. Brown Hua Liu Yifei Xue

The discovery of preferences in space and time is important in a variety of applications. In this paper we first establish the correspondence between a set of preferences in space and time and density estimates obtained from observations of spatial-temporal features recorded within large databases. We perform density estimation using both kernel methods and mixture models. The density estimates...

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