With the rapid development of Internet, the Internet is becoming an indispensable information media. The amount of information (on the Internet, digital libraries, information resources, and so on) increasing exponentially and a large number of machine learning problems (such as document retrieval, image matching, weather forecasting, intrusion detection and gene engineering) emerging, it urgently needs
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Internet has brought convenience to people and also poses threats, and its explosive growth makes people face more and more network threats, and network security is becoming increasingly prominent.?Intrusion detection as a proactive and dynamic defense means of security is a strong complement to traditional security technologies.?However, with the enlargement of network data volume, information
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The essence of bearing fault diagnosis is pattern recognition,including signal acquisition, feature extraction and selection, and state recognition, feature extraction and selection of which are particularly important.they have a direct impact on the success of the pattern recognition.The vibration signals generated from running bearings is a complex non-stationary and nonlinear signal.How to extract the fault
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With the rapid development of communication industry in recent years, text messaging has become a regular tool for mobile phone users to communicate, make comments or give suggestions. In order to improve the services, communication companies often receive customer feedback (opinions or advice) about their mobile service in the form of text message. The classification
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CT image based CAD (Computer-aided Diagnosis) technology is currently anadvanced medical imaging diagnostic clinical application technology in the world.This technology can effectively identify suspicious lesions in CT images by usingthe computer image processing technology. CAD technology can improve theaccuracy of recognition of lesions of the physician, also can reduce a lot of work ofdoctors which
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Rough set theory, proposed by Z. Pawlak in 1982, is a soft computing tool for dealing with fuzzy and uncertainty data, which plays a very important role in data mining with its applications. The classic rough set model has been extended by many researchers, and one of those models is multi-granulation rough set model which
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MicroRNAs(miRNAs) are a set of endogenous non-coding RNAs with length of about 21nt. They regulate the expression of the target mRNAs and are involved in many important biological processes including metabolism, defense against viruses, apoptosis and proliferation. This paper proposed and implemented the pre-miRNA classification and miRNA prediction methods. These methods achieved higher prediction performance.First,
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As the rapidly development of the IT, the requirements of the computer from human have greatly changed, the powerful arithmetic capability and the gigantic storage capacity can’t meet people’s desire. We hope to see that the computer can imitate some human activities especially in the mental field. Then the application boundary of computer have margined
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In information age, spam is considered as the most effective and inexpensive internet advertisement forms. Some speculators distribute illegal information by using the spams. Spams greatly interfere people’s daily life, consume their energy and time. More serious influences are: bringing information security hidden trouble, ruining ISP’s (Internet Service Provider) market figure, loosing the intangible assets,
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As an active network security technology, intrusion detection can not only find outer intruders’attack, but also detect inner legal users’unauthorized operation. Hence, it is regarded as the second network security gate behind firewall. At present, many researchers have applied support vector machine(SVM) as a machine learning method to intrusion detection and obtained certain studying achievements.
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