Support vector machines (SVMs) are a popular class of supervised learning algorithms, and
are particularly applicable to large and high-dimensional classification problems. Like most …

In this survey, we review different text mining techniques to discover various textual patterns
from the social networking sites. Social network applications create opportunities to …

In this paper we present the state of the art in writer identification and verification of
handwritten text. In addition, a special and extensive survey of writer identification and …

Nowadays, Human Resource Information System (HRIS) plays a strategic role in the
decision making process for effective and efficient Human Resource Management (HRM) …

Abstract Universal Numerical Integrators (UNIs) can be defined as the coupling of a
universal approximator of functions (eg, artificial neural network) with some conventional …

In classification tasks, class-modular strategy has been widely used. It has outperformed
classical strategy for pattern classification task in many applications. However, in some …

Monitoring of postures and activities is used in many clinical and research applications,
some of which may require highly reliable posture and activity recognition with desired …

Günümüzde yapay sinir ağları ve destek vektör makineleri finans alanında borsa endeks
tahmini, finansal başarısızlık tahmini ya da şirket bonolarının sınıflandırılması gibi birçok …

This paper investigates the problem of writer identification from handwriting samples in
Arabic. The proposed technique relies on extracting small fragments of writing which are …

This paper presents a review on the state of the art in offline text-independent writer
identification methods for three major languages, namely English, Chinese and Arabic …