نتایج جستجو برای: support vector machines svm
تعداد نتایج: 866627 فیلتر نتایج به سال:
In this paper, the basic concepts and survey of the available literature on Support Vector Machines (SVM) in data mining and soft computing research area is provided. While at the time of survey several new methods were found related to SVM like as Support Vector Representation and Discrimination Machine (SVRDM), Recursive SVM (RSVM), On-line Independent SVM (OISVM), Pruning SVM, Fast Nearest N...
In supervised learning problems, global and local learning algorithms are used. In contrast to global learning algorithms, the prediction of a local learning algorithm in a testing point is only based on training data which are close to the testing point. Every global algorithm such as support vector machines (SVM) can be localized in the following way: in every testing point, the (global) lear...
Support vector machine (SVM) is a popular pattern classification method with many application areas. SVM shows its outstanding performance in high-dimensional data classification. In the process of classification, SVM kernel parameter setting during the SVM training procedure, along with the feature selection significantly influences the classification accuracy. This paper proposes two novel in...
Jantung merupakan salah satu organ terpenting yang ada pada tubuh manusia. Dengan nya jantung, darah dapat tersalurkan keseluruh dengan baik. diperlukannya sebuah pola klasifikasi penyakit jantung. Klasifikasi digunakan yaitu metode Support Vector Machines (SVM) dan Neural Net kinerja sangat Pada dataset ini memiliki total 416 instance. Confusion Matrix algoritma SVM terdapat 36 + 34 prediksi b...
the aim of this work is to examine the feasibilities of the support vector machines (svms) and k-nearest neighbor (k-nn) classifier methods for the classification of an aquifer in the khuzestan province, iran. for this purpose, 17 groundwater quality variables including ec, tds, turbidity, ph, total hardness, ca, mg, total alkalinity, sulfate, nitrate, nitrite, fluoride, phosphate, fe, mn, cu, ...
objectives in order to increase the classification accuracy of airs, this study introduces a new hybrid system that incorporates a support vector machine into airs for diagnosing tuberculosis. background tuberculosis (tb) is a major global health problem, which has been ranked as the second leading cause of death from an infectious disease worldwide. diagnosis based on cultured specimens is the...
Discriminatively trained support vector machines have recently been introduced as a novel approach to speaker recognition. Support vector machines (SVMs) have a distinctly different modeling strategy in the speaker recognition problem. The standard Gaussian mixture model (GMM) approach focuses on modeling the probability density of the speaker and the background (a generative approach). In cont...
Speaker independent speech recognition system has been a challenging field of research since speech is the most basic and natural means of communication. In this work, a speech recognition system is developed for recognizing isolated words in Malayalam. Here we have used two wavelet based techniques namely Discrete Wavelet Transforms (DWT) and Wavelet Packet Decomposition (WPD) for extracting f...
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