Text categorization (or supervised classification) generally addresses the topic or the type of a text. We tackle here a different dimension, the intended audience, contrasting two broad categories: texts intended for the general public, or texts intended for specialists. We test the categorization, according to this contrast, of Chinese Web pages about smoking. In this context, we obtain the f...

Cancer is one of the major causes death in humans. Early diagnosis genetic mutations that cause cancer tumor growth leads to personalized medicine decease and can save life majority patients. With this aim, Kaggle has conducted a competition classify clinically actionable gene based on clinical evidence some other features related mutations. The dataset contains 3321 training data points be cla...

Automatic analysis of electrocardiograms (ECGs) has become a major issue due to the large amount of data recorded by numerous cardiac monitoring tools. Particularly, distinguishing between different rhythms is of extreme importance. This work concerns an automatic ECG analysis methodology, validated on benchmark data, and with initial tests already performed on a pervasive ECG acquisition setup...

The work is concerned with the use of Ant Colony Optimization algorithm for feature selection of Keystrokes Dynamics and comparison of classification accuracy of Multi-SVM and KNN classifiers. There are various approaches used for feature subset selection but, ACO algorithm gives good performance than other feature selection algorithm like Genetic Based algorithm and Particle Swarm Optimization...

شور و داوم اه : ،یبرجت همین قیقحت نیا رد 28 نیماتیو ،نیرمت ،لرتنک هورگ راهچ هب یفداصت روط هب و باختنا قاچ رتخد C یبیکرت و دندش میسقت . نیرمت تدش اب يزاوه 50 ات 70 ،رثکادح بلق نابرض دصرد 3 تدم هب و هتفه رد هسلج 8 هتفه دش ماجنا . هورگ ياه نیماتیو C و صرق یبیکرت 500 یلیم نیماتیو یمرگ C ار 3 فرصم هتفه رد راب دندومن . هنومن و لبق اتشان ینوخ ياه 48 هلخادم نیرخآ زا سپ تعاس اه عم...

Computer-aided diagnosis (CAD) approaches succeed in detecting a number of diseases, however, they are not good at addressing atrial hypertrophy disease due to the lack of training data. Support Vector Machine (SVM) is very popular in few CAD solutions to atrial hypertrophy. Yet the performance of SVM is moderate in atrial hypertrophy detection compared to its success in other classification pr...

Handwritten recognition (HWR) is the ability of a computer to receive and interpret intelligible handwritten input from source such as paper documents, photographs, touchscreens and other devices. In this paper we will using three (3) classification to recognize the handwritten which is SVM, KNN and Neural Network. Keywords—Handwritten recognition; SVM; K-Nearest Neighbor; Neural Network;

Compared with labeled data, unlabeled data are significantly easier to obtain. Currently, classification of unlabeled data is an open issue. In this paper a novel SVMKNN classification methodology based on Semi-supervised learning is proposed, we consider the problem of using a large number of unlabeled data to boost performance of the classifier when only a small set of labeled examples is ava...

Today, as the increasing the amount of using internet, there are so most information interchanges are performed in that internet. So, the methods used as intrusion detective tools for protecting network systems against diverse attacks are became too important. The available of IDS are getting more powerful. Support Vector Machine was used as the classical pattern reorganization tools have been ...