Bookbuilding method: a two-stage selling model
Two Stage Robust Ridge Method in a Linear Regression Model
... Regression Model. In this study the problem of autocorrelation was handled using Two Stage Least ...the model when compared with other ...computed. Two stage robust ridge ...
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Two-stage pork consumption model in the US
... CHAPTER 6 Conclusion By the results we have above, it will help the pork companies understand the pork market and the consumers' preferences better. The attributes of different aspects can surely affect the consumption ...
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A two-stage feature selection method for text categorization
... space model as a document; however, it needs a high dimensional space to represent the document, and does not take into account the semantic relationship between terms, which leads to a poor categorization ...
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An extractive supervised two stage method for sentence compression
... SVR model trained with an objective function that combines token accuracy and a language ...our method com- pares favorably to a state-of-the-art extractive sys- ...
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Two-stage source tracking method using a multiple linear regression model in the expanded phase domain
... regression model in the expanded phase domain If phase wrapping occurs the Gaussian assumption becomes invalid thus a delay estimator which does not include a maximum searching process easily ...regression ...
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A Two Stage Parsing Method for Text Level Discourse Analysis
... these two re- lations occur within ...final model with Simp-1 and results show that the Textual- Organization and Topic-Comment relaitons gain an increase by 20% and 8% ...our method can improve on ...
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A two stage damage identification method for space truss structure
... 3 Numerical example This paper selects six segments (6 higher) of space truss structure as the object of study,in order to verify the effectiveness of the proposed method. The space truss cantilever structure ...
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DESIGN OF TWO-STAGE BIDDING MODEL FOR SUPPLIER SELECTION
... work. Two-stage bidding model with genetic algorithm is different from the traditional method used, because this approach provides a large search space, where this technique searches from one ...
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A Two-Stage Runoff Detention Model for a Green Roof
... 2.6, two were selected for further consideration: nonlinear storage routing and the Richards’ Equation, implemented through ...the two models differ significantly in their ...the two methods selected ...
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Enhanced GUI Test Case Generation Method using Two stage Classification Method
... novel two-stage machine learning classification algorithm that uses two different classifiers during discovery of infeasible ...using two classifiers is: given an test dataset, T, consisting ...
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A Two Stage Stochastic Equilibrium Model for Electricity Markets with Two Way Contracts
... a two stage stochastic equilibrium problem where each generator first aims at maximizing its expected profit by signing a certain mount of long term contracts and then bids for dispatches in the spot market ...
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Bilingual Product Name Dictionary Construction Using a Two Stage Method
... since two words with iden- tical meaning are often used in similar contexts across ...it(bag-of-words model), we use ten forward and backward window of word as ...translation model to translate ...
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Asymptotic efficiency of the two-stage estimation method for copula-based models
... a two-stage estimation procedure has been proposed previously; the first stage involves maximum likelihood from univariate margins, and the second stage involves maximum likelihood of the ...
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A two-stage calibration method for industrial robots with joint and drive flexibilities
... A two stage procedure is presented where elastic deflections are considered for the calculation of the geometric ...first stage, the unknown stiffness and damping parameters are ...the model ...
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Partial knowledge restrictions on the two stage threshold model of choice
... subset are known and all others are unrestricted. 8 This collection of results— together with posing the partial knowledge question for multiple-component choice models—makes up the contribution of the paper. Broadly ...
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Estimation of Regression Model Using a Two Stage Nonparametric Approach
... nomial, logarithmic or exponential regression to fit the data. These regressions are practical methodologies when the mean function with predictors is smooth. It is well- known that the estimation approaches from ...
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Partial knowledge restrictions on the two stage threshold model of choice
... subset are known and all others are unrestricted. 8 This collection of results— together with posing the partial knowledge question for multiple-component choice models—makes up the contribution of the paper. Broadly ...
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A two‐stage Bayesian network model for corporate bankruptcy prediction
... appropriate method for our ...first stage to select the most relevant accounting and financial variables (Tian et ...second stage, we construct the Bayesian network structure from selected variables ...
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Title: Two Stage Classification Model for Crop Disease Prediction
... Figure 9.2: Data Value Analysis (Severity) Figure 9.3: Data Value Analysis (Crop History) 10. Conclusion In this present work, prediction of agricultural disease is done be defining neural and HMM adaptive method. ...
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A two-stage model for ranking DMUs using DEA/AHP
... a two-stage method for ranking of decision making units with incorporating DEA and ...first stage All DMUs are evaluated and compared Pairwise and in the second stage by using analytic ...
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