Ensemble classification has received much attention in the machine learning community and has demonstrated promising capabilities in improving classification accuracy. And Support vector machines (SVMs) ensemble has been proposed to improve classification accuracy recently. However, currently used fusion strategies do not evaluate the importance degree of the output of individual component SVM ...

seismic facies analysis (sfa) aims to classify similar seismic traces based on amplitude, phase,frequency, and other seismic attributes. sfa has proven useful in interpreting seismic data, allowingsignificant information on subsurface geological structures to be extracted. while facies analysis hasbeen widely investigated through unsupervised-classification-based studies, there are few casesass...

this paper concentrates on a new procedure which experimentally recognises gears and bearings faults of a typical gearbox system using a least square support vector machine (lssvm). two wavelet selection criteria maximum energy to shannon entropy ratio and maximum relative wavelet energy are used and compared to select an appropriate wavelet for feature extraction. the fault diagnosis method co...

integrally skinned asymmetric membranes based on nanocompositepolyethersulfone were prepared by the phase separation process using the supercritical co2 as a nonsolvent for the polymer solution. in present study, the effects of temperature and nanoparticle on selectivity performance and permeability of gases has beeninvestigated. it is shown that the presence of silica nanoparticles not only di...

introduction:  breast  cancer  is  a  leading  cause  of  death  among  females  throughout  the  world.  currently,  radiologists are able to detect only 75% of breast cancer cases. making use of computer-aided design (cad)  can play an important role in helping radiologists perform more accurate diagnoses.   material and methods: using our hybrid method, the background and the pectoral muscle...

bivariate features, obtained from multichannel electroencephalogram (eeg) recordings, quantify the relation between different brain regions. studies based on bivariate features have shown optimistic results for tackling epileptic seizure prediction problem in patients suffering from refractory epilepsy. a new bivariate approach using univariate features is proposed here. differences and ratios ...

A new technique for the detection of the uncertainty region in classification problems is presented. The core of the method is the determination of the best supporting hyperplane for convex hulls of sets of points in a multidimensional input space. To this aim a modified version of the algorithm for the Generalized Optimal Hyperplane is shown to be effective. As in the Support Vector Machine ap...

This study aimed to evaluate the effect of type of players on ecosystem accounting system using structural equations. In total, 84 activists in the field of environmental accounting (ecosystem) were selected through convenience sampling. Subjects filled the 22-item questionnaire of components of actor network and the 25-item questionnaire of ecosystem accounting. Given the fact that the signifi...

Machine learning techniques are essential to extracting knowledge from data. The volume of data encourages the use of parallelization techniques to extract knowledge faster. However, schemes to parallelize machine learning tasks face the trade-off between obeying strict consistency constraints and performance. Existing consistency schemes require expensive coordination between worker threads to...