This research paper proposes an intelligent classification technique to identify tumor. The manual interpretation of tumor based on visual examination by Radiologist/physician may lead to missing diagnosis when a large number of data are analyzed. To avoid the human error, an automated intelligent classification system is proposed which caters the need for classification of medical image after ...

Twin support vector machine (TWSVM) was initially designed for binary classification. However, real-world problems often require the discrimination more than two categories. To tackle multi-class classification problem, in this paper, a multiple least squares twin support vector machine is proposed. Our Multi-LSTSVM solves K quadratic programming problems (QPPs) to obtain K hyperplanes, each pr...

Iron is an essential element used as supplement in different dosage-forms. Different time and expenditure-consuming methods introduced for detection and determination of elemental ions such as atomic absorption. In this research, two different and routine methods containing ATR-IR and atomic absorption were applied to define the amount of iron in 198 samples containing different concentrations ...

In this present paper it deals with the Gender Classification from ECG signal using Least Square Support Vector Machine (LS-SVM) and Support Vector Machine (SVM) Techniques. The different features extracted from ECG signal using Heart Rate Variability (HRV) analysis are the input to the LS-SVM and SVM classifier and at the output the classifier, classifies whether the patient corresponding to r...

This paper discusses the task of learning a classifier from observed data containing missing values amongst the inputs which are missing completely at random. A non-parametric perspective is adopted by defining a modified risk taking into account the uncertainty of the predicted outputs when missing values are involved. It is shown that this approach generalizes the approach of mean imputation ...

Prediksi harga material konstruksi menjadi salah satu metode untuk membantu perkembangan dunia di Indonesia. Sebanyak 85% dari total biaya merupakan material, sedangkan sisanya alat dan tenaga kerja. Material sering kali berkaitan dengan makroekonomi maupun komoditas baik secara nasional internasional. dilakukan menggunakan Least Squares Support Vector Machine (LS-SVM) variabel input berupa dat...

With the development of science and technology, more data have been produced. For many these datasets, only some labels. In order to make full use information in data, it is necessary classify them. this paper, we propose a strong sparse quadratic kernel-free least squares semi-supervised support vector machine (SSQLSS3VM), which add ℓ0norm regularization term sparse. An NP-hard problem arises ...