نتایج جستجو برای: support vector machine svm

تعداد نتایج: 1034216  

2014
Vo Duy Thanh Vo Trung Hung Pham Minh Tuan Ho Khac Hung

This article presents a solution along with experimental results for an application of semi-supervised machine learning techniques and improvement on the SVM (Support Vector Machine) based on geodesic model to build text classification applications for Vietnamese language. The objective here is to improve the semi-supervised machine learning by replacing the kernel function of SVM using geodesi...

In this paper we investigate the issues of data classification (as one of the branches of data mining science) in form of multi-objective mathematical programming model. The model that we present and investigate is a MODM problem. First time, based on support vector machine (SVM) idea (To maximize the margin of two groups), a multi-criteria mathematical programming model was proposed for data m...

2006
Ting Yu John K. Debenham Tony Jan Simeon J. Simoff

In cases of extremely imbalanced dataset with high dimensions, standard machine learning techniques tend to be overwhelmed by the large classes. This paper rebalances skewed datasets by compressing the majority class. This approach combines Vector Quantization and Support Vector Machine and constructs a new approach, VQ-SVM, to rebalance datasets without significant information loss. Some issue...

H. Fattahi, H. Mansouri, K. Nekooei , M. A. Ebrahimi Farsangi, S. Shojaee,

An excavation damage zone (EDZ) can be defined as a rock zone where the rock properties and conditions have been changed due to the processes related to an excavation. This zone affects the behavior of rock mass surrounding the construction that reduces the stability and safety factor and increase probability of failure of the structure. This paper presents an approach to build a model for the ...

A. Moradzadeh R. Gholami

Reservoir permeability is a critical parameter for characterization of the hydrocarbon reservoirs. In fact, determination of permeability is a crucial task in reserve estimation, production and development. Traditional methods for permeability prediction are well log and core data analysis which are very expensive and time-consuming. Well log data is an alternative approach for prediction of pe...

Journal: :Expert Syst. Appl. 2011
Qi Wu Rob Law

This paper presents a new version of fuzzy support vector machine to forecast the nonlinear fuzzy system with multi-dimensional input variables. The input and output variables of the proposed model are describedas triangular fuzzynumbers. Thenby integrating the triangular fuzzy theory andv-support vector regression machine, the triangular fuzzy v-support vector machine (TFv-SVM) is proposed. To...

Journal: :Neural networks : the official journal of the International Neural Network Society 2014
Yahya Forghani Hadi Sadoghi Yazdi

Because the SVM (support vector machine) classifies data with the widest symmetric margin to decrease the probability of the test error, modern fuzzy systems use SVM to tune the parameters of fuzzy if-then rules. But, solving the SVM model is time-consuming. To overcome this disadvantage, we propose a rapid method to solve the robust SVM model and use it to tune the parameters of fuzzy if-then ...

Journal: :iranian journal of neurology 0
seyyed abed hosseini center of excellence on soft computing and intelligent information processing and department of electrical engineering, ferdowsi university of mashhad, mashhad, iran mohammad ali khalilzadeh research center of biomedical engineering, islamic azad university, mashhad branch, mashhad, iran mohammad bagher naghibi-sistani center of excellence on soft computing and intelligent information processing and department of electrical engineering, ferdowsi university of mashhad, mashhad, iran seyyed mehran homam department of medical, islamic azad university, mashhad branch, mashhad, iran

background: this paper proposes a new emotional stress assessment system using multi-modal bio-signals. electroencephalogram (eeg) is the reflection of brain activity and is widely used in clinical diagnosis and biomedical research. methods: we design an efficient acquisition protocol to acquire the eeg signals in five channels (fp1, fp2, t3, t4 and pz) and peripheral signals such as blood volu...

Journal: :journal of optimization in industrial engineering 2012
behnam vahdani seyed meysam mousavi morteza mousakhani mani sharifi hassan hashemi

estimation of the conceptual costs in construction projects can be regarded as an important issue in feasibility studies. this estimation has a major impact on the success of construction projects. indeed, this estimation supports the required information that can be employed in cost management and budgeting of these projects. the purpose of this paper is to introduce an intelligent model to im...

Journal: :iranian journal of chemistry and chemical engineering (ijcce) 2012
hesam torabi dashti ali masoudi-nejad fatemeh zare

finding repetitive subsequences in genome is a challengeable problem in bioinformatics research area. a lot of approaches have been proposed to solve the problem, which could be divided to library base and de novo methods. the library base methods use predetermined repetitive genome’s subsequences, where library-less methods attempt to discover repetitive subsequences by analytical approaches. ...

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