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Laboratory opening is the only way to colleges and universities reform and development, and it is also an effective measure to cultivate innovative talents. Combined with CDIO engineering education concept, some existing problems in the opening laboratory are analyzed. And according to personal work practice, the mode and management of opening laboratory is discussed. And some settling schemes are...
To overcome the interdependence between the traditional intrusion detection system components, high false-alarm rate of the duplicated ones from the same invasion, and the inability of adaptive replacement of algorithm for mining when testing environment changed, this paper puts forward an adaptive distributed intrusion detection system model based on Multi-Agent, whose mining algorithm module employs...
The concept of ensemble feature selection has been raised by Optiz in his earlier work. And yet, for models like neural networks, new models should be trained and created for every change in its feature subspace, this problem may become tricky when evolutionary algorithms are used to select features, for the slow-training process of neural networks may dramatically extend the whole process of ensemble...
The algorithm of GASEN (Genetic Algorithm based Selective Ensemble Network) has been proven to be a very effective way to select a subset of neural networks to form an ensemble classifier or a regressor of enhanced generation ability. And yet performance of GASEN on class-imbalance data sets hasn't been discussed widely, while class-imbalance learning itself is an increasingly important issue. In...
Feature weighting can be considered an extension of feature selection. Traditional methods of feature weighting assume that feature relevance is invariant over the task's domain. As a result, they learn a single set of weight for the entire data set. In this paper, a proposed algorithm has been used, which is called simultaneous clustering and attribute discrimination (SCAD) and performs clustering...
Gene based data mining has been received wider and wider attention as gene carries genetic information of living creature. While mining gene information, one of the tasks is to estimate the missing values reasonably and effectively, so as to reflect the original information of gene sequence. By analyzing the theory of KNN (K nearest neighbor algorithm), an improved KNN for gene sequence was proposed,...
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