نتایج جستجو برای: was better than svm model
تعداد نتایج: 6251935 فیلتر نتایج به سال:
This work presents point pedotransfer function (PTF) models of the soil water retention curve. The developed models allowed for estimation of the soil water content for the specified soil water potentials: -0.98, -3.10, -9.81, -31.02, -491.66, and -1554.78 kPa, based on the following soil characteristics: soil granulometric composition, total porosity, and bulk density. Support Vector Machines ...
this study was an attempt to investigate the effect of subtitling on vocabulary learning among iranian intermediate students. to find the homogeneity of the groups, tofel test was administered to student in kish mehr institute in garmsar. after analyzing the data, 60 participants (female students) who scored within the range of one standard deviation above and below the mean, were selected as h...
Currently, acoustic spoken language recognition (SLR) and phonotactic SLR systems are widely used language recognition systems. To achieve better performance, researchers combine multiple subsystems with the results often much better than a single SLR system. Phonotactic SLR subsystems may vary in the acoustic features vectors or include multiple language-specific phone recognizers and differen...
Land use classification and mapping mostly use remotely sensed data. During the past decades, several advanced classification methods such as neural network and support vector machine (SVM) have been developed. In the present study, Landsat TM images with 30m spatial resolution were used to classify land uses through two classification methods including support vector machine and neural network...
BACKGROUND Support vector machine (SVM) has been widely used as accurate and reliable method to decipher brain patterns from functional MRI (fMRI) data. Previous studies have not found a clear benefit for non-linear (polynomial kernel) SVM versus linear one. Here, a more effective non-linear SVM using radial basis function (RBF) kernel is compared with linear SVM. Different from traditional stu...
Consensus-based protein structure prediction methods have been proved to be successful in recent CASPs (Critical Assessment of Structure Prediction). By combining several weaker individual servers, a meta server tends to generate better predictions than any individual server. In this paper, we present a Support Vector Machines (SVM) regression-based consensus method for protein fold recognition...
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