نتایج جستجو برای: core vector machine algorithm
تعداد نتایج: 1283131 فیلتر نتایج به سال:
This paper investigates an underwater noise target classification algorithm in order to identify vessels in shallow water. To this aim the Hilbert Huang transform has been used to extract features in order to be used in a classifier. The Support Vector Machine has been considered to identify targets. The proposed method based on Hilbert Huang Transform shows considerable gain against similar ap...
alzheimer disease is one form of dementia in old age. alzheimer disease, the incurable disease, which is usually in the seventh decade of human life, shows its symptoms. the disease may be present for years without clinical symptoms. the current study identified the genes with altered expression in patients with alzheimer disease. the important sequence of each gene in alzheimer disease was fou...
with the explosive growth in amount of information, it is highly required to utilize tools and methods in order to search, filter and manage resources. one of the major problems in text classification relates to the high dimensional feature spaces. therefore, the main goal of text classification is to reduce the dimensionality of features space. there are many feature selection methods. however...
As a new type of dam, roller compacted concrete dam (RCCD) develops very fast in recent years. Deformation plays an important role in the RCCD’s safety. The deformation of RCCD is influenced mainly by three parts: water pressure, temperature and time effect. As to any of the three parts, there are many factors. Therefore, the deformation of RCCD is a complicated system. The least squares suppor...
Images are very important documents nowadays. To work with them in some applications they need to be compressed, more or less depending on the purpose of the application. To reduce transmission cost and storage requirements, competent image compression schemes without humiliation of image quality are required. Several image coding techniques were developed so far for both lossless and lossy ima...
Driver sleepiness is one of the most important causes traffic accidents. Efficient and stable algorithms are crucial for distinguishing nonfatigue from fatigue state. Relevance vector machine (RVM) as a leading-edge detection approach allows meeting this requirement represents potential solution state detection. To accurately effectively identify driver’s reduce number accidents caused by drive...
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...
We present a machine learning technique for the algorithm selection problem, specifically focusing on algorithms for dense matrix multiplication. Dense matrix multiplication is a core component of many high-performance computing and machine learning algorithms [1], but the performance of matrix multiplication algorithms can vary significantly based on input parameters and hardware architecture....
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