نتایج جستجو برای: support vector machines svm

تعداد نتایج: 866627  

Ali Masoudi-Nejad, Hesam Torabi Dashti

Structural repetitive subsequences are most important portion of biological sequences, which play crucial roles on corresponding sequence’s fold and functionality. Biggest class of the repetitive subsequences is “Transposable Elements” which has its own sub-classes upon contexts’ structures. Many researches have been performed to criticality determine the structure and function of repetitiv...

Journal: :International Journal of Computer Applications 2015

2004
Hans Peter Graf Eric Cosatto Léon Bottou Igor Durdanovic Vladimir Vapnik

We describe an algorithm for support vector machines (SVM) that can be parallelized efficiently and scales to very large problems with hundreds of thousands of training vectors. Instead of analyzing the whole training set in one optimization step, the data are split into subsets and optimized separately with multiple SVMs. The partial results are combined and filtered again in a ‘Cascade’ of SV...

Journal: :journal of paramedical sciences 0
batoul ahadi department of biostatistics, para-medical faculty, shahid beheshti university of medical sciences, tehran, iran hamid alavi majd department of biostatistics, para-medical faculty, shahid beheshti university of medical sciences, tehran, iran soheila khodakarim department of epidemiology,health faculty, shahid beheshti university of medical sciences, tehran, iran forough rahimi department of english language, paramedical faculty, shahid beheshti university of medical sciences, tehran, iran nourossadat kariman department of midwifery, school of nursing and midwifery, shahid beheshti university of medical sciences, tehran, iran. mahieh khalili department of biostatistics, para-medical faculty, shahid beheshti university of medical sciences, tehran, iran

various statistical methods have been proposed in terms of predicting the outcomes of facing special factors. in the classical approaches,  making the probability distribution or known probability density functions is ordinarily necessary to predict the desired outcome. however, most of the times enough information about the probability distribution of studied variables is not available to the ...

Accurate simulation runoff process can have a significant role in water resources management and related issues. The inherent complexity of  this process makes difficult the use of physical and numerical models. In recent years, application of intelligent models is increased a powerful tool in hydrological modeling. The aim of this study was the application of the Gamma test to select the optim...

2006
Ovidiu Ivanciuc Thomas R. Cundari

Kernel-based techniques (such as support vector machines, Bayes point machines, kernel principal component analysis, and Gaussian processes) represent a major development in machine learning algorithms. Support vector machines (SVM) are a group of supervised learning methods that can be applied to classification or regression. In a short period of time, SVM found numerous applications in chemis...

Journal: :journal of medical signals and sensors 0
keyvan kasiri kamran kazemi mohammad javad dehghani mohammad sadegh helfroush

in this paper, we present a new brain tissue segmentation method based on a hybrid hierarchical approach that combines a brain atlas as a priori information and a least-square support vector machine (ls-svm). the method consists of three steps. in the first two steps, the skull is removed and cerebrospinal fluid (csf) is extracted. these two steps are performed using the fast toolbox (fmrib's a...

Journal: :iranian journal of mathematical chemistry 2016
f. bagheban-shahri a. niazi a. akrami

a quantitative structure-activity relationship (qsar) study was conducted for the prediction of inhibitory activity of 1-phenyl[2h]-tetrahydro-triazine-3-one analogues as inhibitors of 5-lipoxygenase. the inhibitory activities of the 1-phenyl[2h]-tetrahydro-triazine-3-one analogues modeled as a function of molecular structures using chemometrics methods such as multiple linear regression (mlr) ...

Journal: :iranian journal of chemistry and chemical engineering (ijcce) 2010
hesam torabi dashti ali masoudi-nejad

structural repetitive subsequences are most important portion of biological sequences, which play crucial roles on corresponding sequence’s fold and functionality. biggest class of the repetitive subsequences is “transposable elements” which has its own sub-classes upon contexts’ structures. many researches have been performed to criticality determine the structure and function of repetitive su...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید