نتایج جستجو برای: linear regression models perform better on unseen data
تعداد نتایج: 9911205 فیلتر نتایج به سال:
the objective of this study was to determine the relationship between body weight (bw) and heart girth (hg) in sardi and timahdite sheep in order to develop a prediction equation of bw from hg. the data used for this study included 476 records on bw and hg (227 in sardi and 249 in timahdite) collected on males and females of different ages in 33 private farms. the bw and the hg averaged 34.8 ± ...
abstract: in this thesis, we focus to class of convex optimization problem whose objective function is given as a linear function and a convex function of a linear transformation of the decision variables and whose feasible region is a polytope. we show that there exists an optimal solution to this class of problems on a face of the constraint polytope of feasible region. based on this, we dev...
the permeability is a main property of oil reservoirs that shows the ability of rocks in the conduct of fluids such as oil, water and gas through the pore spaces of reservoir. the determination of the permeability is a crucial task in reserve estimation, production and development of oil reservoirs. due to this, an accurate estimate of such important reservoir rock parameter should not be made ...
ALAMO is a computational methodology for leaning algebraic functions from data. Given a data set, the approach begins by building a low-complexity, linear model composed of explicit non-linear transformations of the independent variables. Linear combinations of these non-linear transformations allow a linear model to better approximate complex behavior observed in real processes. The model is r...
the kinetic study of methylene blue (mb) adsorption using acid-activated spent tea (aast) as an adsorbent from aqueous solution with the aim of comparing linear and non-linear regression analysis methods was performed at varying initial mb concentrations (10-100 mg/l). hence, spent tea leaves, which were activated using concentrated sulfuric acid, were prepared. the physicochemical characterist...
The influence of data parameters (sensor error, unexplained variance, sampling density and data distribution) on spatial data prediction quality is considered through the use of a spatial data simulator. Performance of linear and non-linear regression models (feedforward neural networks) is compared on simulated agricultural data, but the results can be generalized to geological, oceanographic ...
Much research has introduced linear or nonlinear models using statistical models and machine learning tools in artificial intelligence to estimate Iran's rate of return. The primary purpose of these methods is simultaneously use different independent variables to improve stock return rates' modeling. However, in predicting the rate of return, in addition to the modeling method, the degree of co...
due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...
abstract the present study tried to investigate the effect of visual aids (films) on the development of the speech act of disagreement among iranian efl intermediate learners. to this end, the researcher selected 40 homogeneous intermediate learners based on their scores on oxford placement test. .the subjects then divided into control group and experimental group. both classes were tested by ...
A common data mining heuristic is, “When choosing between models with the same training error, less complex models should be preferred as they perform better on unseen data.” This heuristic may not always hold. In genetic programming a preference for less complex models is implemented as i) placing a limit on the size of the evolved program ii) penalizing more complex individuals, or both. This...
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