First , author analyzes and compares the advantages and disadvantages of existing packet filter technologies and designed a packet filter model for pc according to leitmotiv of model design
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But in the other hand , the cost is the increase of iteration . this paper proposes a svm theory based spam filtering model , which uses an improved smo algorithm , called smo active learning algorithm
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These geometry images are then sent to the image processing toolboxes for varaints of filtering effects . 3d filtered models can be created via reconstruction from these filtered images
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Then the filter model is deduced to describe the intensity fluctuation induced by xpm in dispersion managed systems . according to this model , optimal dispersion management schemes are got
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Through analyzing their features and deficiency , a spam - filtering model based on netfilter frameworks is proposed . it has features as separating from email server , transparent for email users and easy to configure and use
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This makes very good use of the standard unix utility filter model , but it only works with utilities that read input and write output ; you can t use it with utilities that operate in place , or take input and output file names
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We bring forward a semantic filter model based on semantic web - semfit . taking the innovation design system as application background , we describe two application scene hi the system with qa - based arithmetic and semantic web based filter model respectively
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By assuming that the vehicle moves with constant acceleration from current frame to the next , a kalman filter model is used to tracking and predicting the trace of a vehicle . the detection algorithm has some advantages such as an explicit and applicable
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In the first part , data mining , especially web data mining is discussed , detailed in its application in information filtering . applicatoin of mobile agent in network information filtering and information filtering model in network intrusion detection are analyzed
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Chapter two introduces a few extensively used maneuvering models include constant velocity ( cv ) model , constant acceleration ( ca ) model , singer model , �� current �� statistical model and two - stage filter model , and discusses every model �� s state function and parameters
