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Anomaly detection technique play an extraordinary role in the Intrusion Detection System (IDS) for its ability to detect novel attacks. To overcome the high-dimensionality problem the anomaly detection cursed of, we propose a novel Meta-Heuristic-based Sequential Forward Selection (MH_SFS) feature selection algorithm, which can be generally implemented in anomaly detection system. It is an improvement...
Gene selection plays a crucial role in the analysis of microarray data with high dimensionality and small sample size. Incremental wrapper based feature subset selection (FSS) methods, among various feature selection approaches, tend to obtain high quality feature subset and better classification accuracy than filter methods, while it is much more time consuming since the interdependence and redundancy...
In order to obtain satellite attitude with better precision and reliability by using a multi-sensor satellite attitude determination system with uncertain model error, federated filter structure is adopted. The subfilter of federated filter is an improved Nonlinear filter, which is suitable for estimation of nonlinear system with uncertain model error by combining the Predictive filter and second-order...
Recommender systems now tend to gain popularity and significance. The proliferation of many recommender systems leads to the difficulty of locating a good recommender system. The algorithms contained in the recommender system determine the efficiency of the recommender systems. The question now is to find the most appropriate algorithms to meet users' needs. So far, the research carried out has focused...
The phenomenon of invalid entity relation tuples generating more invalid tuples in the next cycle is called as “circular dependencies” in relation extraction. In order to prevent the existence of the phenomenon of “circular dependencies”, we present a entity relation tuples filtration method that filters the invalid entity relation tuples for Weakly Supervised Relation Extraction. In our article,...
The interior-point filter algorithm (IPFA) is based on a primal-dual interior-point algorithm with a filter set which can be updated after every iteration, and the algorithm will not cycle between two points that alternately decrease the constraint violation and the barrier objective function. The simulation results from IEEE 30-bus system, IEEE 57-bus system and IEEE 118-bus system show that using...
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