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95.524  Articles
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In this paper, one versus one optimal decision tree support vector machine (OvO-ODT SVM) framework is proposed to solve multi-class problems where the optimal structure of decision tree is determined using statistical measures, i.e., information gain, gin... see more

Structure-Based Virtual Screening (SBVS) campaigns employing Protein-Ligand Interaction Fingerprints (PLIF) identification have served as a powerful strategy in fragments and ligands identification, both retro- and prospectively. Most of the SBVS campaign... see more

Stemming is one of the main important preprocessing techniques that can be used to enhance the accuracy of text classification. The key purpose of using the stemming is combining the number of words that have same stem to decrease high dimensionality of f... see more

To improve the efficiency of student's sports performance management and the quality of physical education teaching, the overall structure of the sports performance management system based on decision tree was designed, and a systematic database design pl... see more

The problem of mathematical support development is solved to automate the extraction knowledge as production rules from the training data samples. The object of study is the process of constructing models of non-destructive quality control. The subje... see more

This study was aimed at identifying effective leadership abilities as appreciated by soldiers in the Lithuanian armed forces. Leader behavior was measured using an adapted version of the Leader Behavior Description Questionnaire (LBDQ), which was original... see more

In general, an ensemble classifier is more accurate than a single classifier. In this study, we propose an ensemble classifier called kernel Fisher discriminant analysis forest (KFDA Forest). This is a tree-based ensemble method that applies KFDA. To prom... see more

Data Representation in memory is one of the tasks in Big data. Data representation includes several types of tree data structures through the system can access accurate and efficient data in big data. Succinct data structures can play important role in da... see more

 This paper proposes a novel idea of a fault detection algorithm based on the Regression Tree (RT) algorithm from the decision tree learning and the distance correlation, which is the nonlinear version of Pearson’s correlation, to reduce the number o... see more

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