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Every user has a distinct background and a specific goal when searching for information on the Web. The goal of Web search personalization is to tailor search results to a particular user based on that user's interests and preferences. This paper presents an approach of search engine optimization based on algorithm of BP neural networks aiming at meeting the increasing requirements of modern people...
In this paper, we propose A two-stage learning scheme for neural networks by integrating Gas into Structure identification In the first stage, which is also called structure identification stage, the selection of network structure and initial parameters is carried out by float genetic algorithm instead of human ln the second stage which is called parameter identification stage the conventional optimization...
This paper presents the theoretical research about the relationship between diversity of classification ensembles and single-class measures that are commonly used in class imbalance learning. Although there have been studies on diversity and its links to overall ensemble accuracy, little work has been done on the impact of diversity on single-class performance measures in class imbalance learning...
Functionality Testing is one of the most popular used technologies of black-box testing strategy. Programs to be test were taken as implicit functions mapping inputs into outs. In the view of functionality testing, if the functional behaviors of the program can be predicated correctly, it could be applied as test oracles for newer test cases generation. The main problems of this issue are discussed...
Class imbalance learning is an important research area in machine learning, where instances in some classes heavily outnumber the instances in other classes. This unbalanced class distribution causes performance degradation. Some ensemble solutions have been proposed for the class imbalance problem. Diversity has been proved to be an influential aspect in ensemble learning, which describes the degree...
Test Oracle is one of the most important problems to be tackled for automatic software testing. Unlike manual test, by reviewing results to determine whether or not result is what it should expected to be, automatic methods only depend on specified decision rules. Artificial Intelligence is a prominent solution for such work. In this research, Artificial Neural Network was proposed to direct oracles...
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