The Measure Representation: A Correction

On the optimal correction of inconsistent matrix equations $AX = B$ and $XC = D$ with orthogonal constraint

This work focuses on the correction of both the coecient and the right hand side matrices of the inconsistent matrix equations $AX = B$ and $XC = D$ with orthogonal constraint. By optimal correction approach, a general representation of the orthogonal solution is obtained. This method is tested on two examples to show that the optimal correction is eective and highly accurate.

EFL Learners’ Preferences for Error Correction and Its Relationship with Demotivation and Language Proficiency in the Iranian Context

The present study is an attempt to explore any significant relationships between learners’ preferences for error correction, demotivation, and language proficiency (LP). One hundred Iranian EFL students, including both males and females, studying at the departments of foreign languages of Shahid Bahonar University of Kerman and Tehran University took part in this study. In order to obtain the r...

A Joint Semantic Vector Representation Model for Text Clustering and Classification

Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, their shortcoming in capturing semantic concepts of text motivated researches to use...

ON LOCAL HUDETZ g-ENTROPY

In this paper, a local approach to the concept of Hudetz $g$-entropy is presented. The introduced concept is stated in terms of Hudetz $g$-entropy. This representation is based on the concept of $g$-ergodic decomposition which is a result of the Choquet's representation Theorem for compact convex metrizable subsets of locally convex spaces.

A Representation for Characteristic Functionals of Stable Random Measures with Values in Sazonov Spaces

خوشه‌بندی اسناد مبتنی بر آنتولوژی و رویکرد فازی

Data mining, also known as knowledge discovery in database, is the process to discover unknown knowledge from a large amount of data. Text mining is to apply data mining techniques to extract knowledge from unstructured text. Text clustering is one of important techniques of text mining, which is the unsupervised classification of similar documents into different groups. The most important step...