نتایج جستجو برای: core vector machine algorithm

تعداد نتایج: 1283131  

2017
M. Praveena V. Jaiganesh A. C. Bahnsen D. Aouada B. Ottersten F. Blanco J. C. Ávila G. R. Jiménez A. Carvalho A. O. Díaz R. M. Bueno B. Sun S. Chen J. Wang H. Chen E. M. El-Alfy

Data mining is one amid the core research areas in the field of computer science. Yet there is a knowledge data detection process helps the data mining to extract hidden information from the dataset there is a big scope of machine learning algorithms. Especially supervised machine learning algorithms gain extensive importance in data mining research. Boosting action is regularly helps the super...

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...

2014
Mujahed Aldhaifallah K. S. Nisar

Abstract: In this paper a new algorithm to identify Auto-Regressive Exogenous Models (ARX) based on Twin Support Vector Machine Regression (TSVR) has been developed. The model is determined by minimizing two ε insensitive loss functions. One of them determines the ε1-insensitive down bound regressor while the other determines the ε2-insensitive up-bound regressor. The algorithm is compared to S...

This article has been compiled to identify the best model of housing price forecasting using machine learning methods with maximum accuracy and minimum error. Five important machine learning algorithms are used to predict housing prices, including Nearest Neighbor Regression Algorithm (KNNR), Support Vector Regression Algorithm (SVR), Random Forest Regression Algorithm (RFR), Extreme Gradient B...

Stock market forecasting has attracted so many researchers and investors that ‎many studies have been done in this field. These studies have led to the ‎development of many predictive methods, the most widely used of which are ‎machine learning-based methods. In machine learning-based methods, loss ‎function has a key role in determining the model weights. In this study a new loss ‎function is ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی خواجه نصیرالدین طوسی - دانشکده برق و کامپیوتر 1391

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

Journal: :iranian journal of fuzzy systems 2010
fatemeh moayedi ebrahim dashti

this paper is concerned with the development of a novel classifier for automatic mass detection of mammograms, based on contourlet feature extraction in conjunction with statistical and fuzzy classifiers. in this method, mammograms are segmented into regions of interest (roi) in order to extract features including geometrical and contourlet coefficients. the extracted features benefit from...

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...

2016
MOCHAMAD WAHYUDI

Twitter has become one of the most popular micro-blogging platform, recently. Millions of users can share their thoughts and opinions about various aspects and activites. Therefore, twitter considered as a rich source of information for decision-making and sentiment analysis. In this case, the sentiment is aimed to overcome the problem of automatically classifying user tweets into positive opin...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی شاهرود - دانشکده ریاضی 1392

در این پایان نامه یک شبکه عصبی‎ltrfootnote{‎neura‎l network}‎ تک لایه بازگشتی برای ماشین بردار پشتیبانی‎ltrfootnote{support vector machine} (svm)‎ در الگوی یادگیری طبقه بندی و رگرسیون را ارائه می کنیم. اولین مساله یادگیری ‎svm‎ تبدیل به فرمول معادل آن، و پس از آن یک لایه شبکه های عصبی بازگشتی برای یادگیری ‎svm‎ پیشنهاد شده است. شبکه عصبی پیشنهادی برای به دست آوردن راه حل بهینه از طبقه بندی بردا...

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