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Forecasting deformation of surrounding rock for tunnel is a highly complicated nonlinear problem which is hard to be solved by using conventional methods. A novel method based on Gaussian Process (GP) machine learning is proposed for solving the problem of deformation prediction of surrounding rock for tunnel. GP is a newly developed machine learning method based on the strict statistical learning...
During spatial remote sensing imaging procedure, combined degradation factors conduce to Gaussian image blurring. The precondition of restoring the degraded image is to estimate point spread function (PSF) of the imaging system as precisely as possible. Because the depredating processes are quite complex, the transfer function of the degraded system is often completely or partly unknown, which makes...
Automatic word segmentation technology is an important component part of modern Chinese information processing. It is the key technology of the Chinese full-text retrieval. This paper presents a Chinese word segmentation algorithm based on maximum entropy. It uses of part-of-speech tagging and word frequency tagging of corpus to establish maximum entropy model based on mutual information as a word...
SMS has become an indispensable tool in people's life. How to help people effectively anti spam SMS and create a healthy, harmonious and ordered environment has become a new research hotspot. On the basis of learning Bayesian learning theory, this thesis mainly researches Bayesian classification model and Bayesian decision based on the minimum risk.
The purpose of this paper is to improve recognition rate of off-line handwritten character recognition system.We apply the statistical characteristics of the percentage of pixels and structural characteristics of boundary chain code of character projection, after train based on HMM to obtain corresponding parameters, then integrate different classifiers through the Bagging algorithm in Voting method...
Prediction of deformation of foundation pit by means of conventional method such as mechanics analysis or numerical method often has a large error because the deformation process of foundation pit is a highly complicated nonlinear evolution process. A novel method based on Gaussian process (GP) machine learning is proposed for solving the problem of deformation prediction of foundation pit. GP is...
In the Bayesian face recognition algorithm, the similarity of two images is estimated on one intrapersonal variation subspace which is based on all variation training data. In fact, the intrapersonal variation is complicated and there are many factors which will lead to the variation. Different factor brings different influence to the face image. In the paper, we divide the intrapersonal variation...
It is necessary to eliminate cluttered information in Web pages, such as navigation bars, related readings, copyright notices, since they can cause additional burden to search engines. In this paper, a Web page is treated as a sequence of content cells, where each cell owns its score according to our Mountain Model. Primary content cells are distinguished from those cluttered content cells by the...
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