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Extreme learning machine (ELM) for single-hidden-layer feedforward neural networks has been widely used in classification and regression for its fast learning speed. However, a single ELM suffers from problems of stability and overfitting. Ensemble approach can effectively resolve these problems. This paper proposes a selective ensemble learning algorithm based on differential evolution (DE) for classification...
With the development of computer technology and database management system, more and more data will be accumulated. The problem of the effective usage and selection of these surge data gives birth to a new subject—Data-Mining. Clustering is one of the “Three Data-Mining Technologies”. The K-means algorithm is a simple, practical and efficient clustering algorithm. In this paper, several common clustering...
This paper presents a stereo matching algorithm based on the improved matching cost function and the adaptive window. First of all, AD, Census and gradient gap of left and right images are calculated. Joint bilateral filter is used for calculating weights of pixels, thereby constructing a matching cost function. Then, different aggregation window construction strategies are used for aggregating matching...
A novel descriptor for laser printing character recognition is proposed by using the fusion features and multilevel classification. There are two level features in the feature extraction module, the first level feature uses the coarse grid statistical features, having great applicability for local character distortion and stroke thickness inequality. Wavelet moment, as the second level feature, has...
A novel approach to construct accurate and interpretable fuzzy classification system based on hybrid Co-evolution algorithm is proposed in this paper. The approach is composed of three phases: (1) the initial fuzzy system is identified using the Simba algorithm and the fuzzy clustering algorithm; (2) the fuzzy rule pool is optimized by the Michigan-style genetic algorithm; (3) the structure and parameters...
Web news articles play an important role in stock market. Sentiment classification of news articles can help the investors make investment decisions more efficiently. In this paper, we implemented an approach of Chinese new words detection by using N-gram model and applied the result for Chinese word segmentation and sentiment classification. Appraisal theory was introduced into sentiment analysis...
Support vector machine (SVM) algorithm has shown a good learning ability and generalization ability in classification, regression and forecasting. This paper mainly analyzes the the performance of support vector machine algorithm in the classification problem, including the algorithm in the kernel function selection, parameter optimization, and integration of other algorithms and to deal with multi-classification...
Chinese Web page classification (WPC) has been considered as a hot research area in data mining. In order to effectively classify Web pages, we present a Web page categorization based on a least square support vector machine (LS-SVM) with latent semantic analysis (LSA). LSA uses singular value decomposition (SVD) to obtain latent semantic structure of original term-document matrix solving the polysemous...
A novel approach to construct accurate and interpretable fuzzy classification system based on hybrid co-evolution algorithm is proposed in this paper. First, the necessary conditions of interpretability are analyzed. Second, the search ability of Michigan-style and Pittsburgh-style genetic algorithm is examined respectively for designing fuzzy classification system. It is clearly demonstrated that...
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