نتایج جستجو برای: logistic profile
تعداد نتایج: 322731 فیلتر نتایج به سال:
Social image sharing websites, such as Flickr and Zooomr, have attracted a large number of Internet users. These systems allow users to associate geolocation information to their images, which is essential for many interesting applications such as location-aware image search. However, only a small fraction of social images have geolocation information. Thus, an automated tool for suggesting geo...
conclusions dyslipidemia is a common finding after kidney transplantation and has no correlation with csa level. according to conflicting data on the precise effect of different factors in inducing dyslipidemia, prospective large sample size studies should consider better control of dyslipidemia. results mean age of 1391studied population was 38.7 ± 15 years old. hypercholesterolemia and hypert...
This paper presents a Logistic Maturity Model. The goal is to provide companies with a system that allows both to assess their logistic processes current status and to outline an action plan for improvement, considering four key elements: Modeling Framework, Maturity Framework, Performance Framework and Improvement Systems.
1. The Effect of Response Level Ordering on Parameter Estimate Interpretation 2. Odds Ratios 2.1 Binary Explanatory Variable Modeling the Event 2.2 Binary Explanatory Variable Modeling the Nonevent 2.3 Continuous Explanatory Variable 3. Predicted Probabilities 4. Predicted by Observed Classification Tables 4.1 Classification Using Predicted Probabilities 4.2 Classification Using Bias-adjusted P...
OBJECTIVE To develop and validate a simplified, easy to interpret scoring system based on the health profile-types taxonomy for the Spanish version of the Child Health and Illness Profile-Adolescent Edition (CHIP-AE). METHODS The CHIP-AE was administered to a 1453 Spanish adolescents. Hierarchic and nonhierarchical cluster analyses, as well as conceptual considerations, were used to identify ...
Most existing content-based filtering approaches learn user profiles independently without capturing the similarity among users. Bayesian hierarchical models [42] learn user profiles jointly and have the advantage of being able to borrow discriminative information from other users through a Bayesian prior. However, the standard Bayesian hierarchical models assume all user profiles are generated...
Knowledge and understanding of changes in forest cover in relation to environmental factors (topography) can be valuable in terms of conservational and protective guidances. The purpose of this study was to identify, quantify and predict deforestation in relation to topographic variables using logistic regression model. The Arasbaran catchments (Naposhtehchay, Ilginehchay and Mardanqumchay) in ...
We study a competitive supply marketplace where multiple suppliers offer a single nondifferentiated product to multiple buyers. Within this multi-supplier, multi-buyer marketplace, each buyer chooses the supply partner that serves the buyer’s order profile, described by his order size and delivery frequency, with the best price. Suppliers differ from each other in terms of their logistic cost s...
The present study investigated the feasibility of bioCO(2) sequestration using Chlorella sorokiniana. It was found that 5% CO(2) (v/v) in air was the most suitable concentration for the growth of this organism. At this concentration, the maximum rate of CO(2) sequestered and the biomass obtained were found to be 1.21 g L(-1)d(-1) and 4.4 g L(-1) respectively. Modeling and simulation of the grow...
Logistic regression may be useful when we are trying to model a categorical dependent variable (DV) as a function of one or more independent variables. This paper reviews the case when the DV has more than two levels, either ordered or not, gives and explains SAS R © code for these methods, and illustrates them with examples.
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