نتایج جستجو برای: support vector machine ls

تعداد نتایج: 1037876  

Journal: :iranian journal of mathematical chemistry 2013
s. masoum s. ghaheri

we can reach by dna microarray gene expression to such wealth of information with thousands of variables (genes). analysis of this information can show genetic reasons of disease and tumor differences. in this study we try to reduce high-dimensional data by statistical method to select valuable genes with high impact as biomarkers and then classify ovarian tumor based on gene expression data of...

Journal: :international journal of industrial engineering and productional research- 0
farid khoshalhan tehran-vanak-mollasadra-pardis ali nedaie

there are many numerous methods for solving large-scale problems in which some of them are very flexible and efficient in both linear and non-linear cases. league championship algorithm is such algorithm which may be used in the mentioned problems. in the current paper, a new play-off approach will be adapted on league championship algorithm for solving large-scale problems. the proposed algori...

Journal: :journal of computer and robotics 0
leila khalatbari department of computer engineering, faculty of electrical, it and computer science, qazvin branch, islamic azad university, qazvin, iran mohammad reza kangavari department of computer engineering, iran university of science and technology, tehran, iran

dna sequence, containing all genetic traits is not a functional entity. instead, it transfers to protein sequences by transcription and translation processes. this protein sequence takes on a 3d structure later, which is a functional unit and can manage biological interactions using the information encoded in dna. every life process one can figure is undertaken by proteins with specific functio...

2001
Johan A.K. Suykens

Neural networks such as multilayer perceptrons and radial basis function networks have been very successful in a wide range of problems. In this paper we give a short introduction to some new developments related to support vector machines (SVM), a new class of kernelbased techniques introduced within statistical learning theory and structural risk minimization. This new approach leads to solvi...

Journal: :journal of electrical and computer engineering innovations 2014
sina mohseni gholamreza ardeshir niloofar zarei

automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. it has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. in this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...

Journal: :iranian journal of oil & gas science and technology 2013
morteza nouri taleghani sadegh saffarzadeh mina karimi khaledi ghasem zargar

porosity is one of the fundamental petrophysical properties that should be evaluated for hydrocarbon bearing reservoirs. it is a vital factor in precise understanding of reservoir quality in a hydrocarbon field. log data are exceedingly crucial information in petroleum industries, for many of hydrocarbon parameters are obtained by virtue of petrophysical data. there are three main petrophysical...

Journal: :the modares journal of electrical engineering 2015
mehdi samanazari amin ramezani saeed rajabi ali chaibakhsh

considering that once-through benson boiler is one of the most crucial equipment of a thermal power plant, occurrence of any fault in its different parts can lead to decrease of the performance of system, and even may cause system damage and endanger the human life. in this paper, due to the high complexity of the system's dynamic equations, we utilized data-based method for diagnosing the faul...

Journal: :journal of advances in computer research 2016
amir ebrahimi ghahnavieh abolghasem a. raie

each license plate recognition system is composed of three main parts, namely, license plate detection, character segmentation and character recognition. in this paper, we focus on the improvement and innovation of the character recognition step. for this purpose, a new hierarchical architecture based on support vector machines (svms) is suggested for persian license plate characters recognitio...

2000
J. Ramı́rez P. Yélamos

Shown is an effective speech endpoint detection algorithm using a trained support vector machine (SVM) and a feature vector including contextual information speech features. With this and other innovations the proposed algorithm yields high discrimination and reports significant improvements over standard methods and algorithms defining the decision rule in terms of averaged subband speech feat...

Journal: :IJCNS 2010
Xiaoyun Teng Xiaoyi Zhang Hongyi Yu

Frequency estimation is transformed to a pattern recognition problem, and a least squares support vector machine (LS-SVM) estimator is derived. The estimator can work efficiently without the need of statistics knowledge of the observations, and the estimation performance is insensitive to the carrier phase. Simulation results are presented showing that proposed estimators offer better performan...

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