60results about How to "Avoid excessive noise" patented technology

The invention discloses an intrusion detection method based on observational learning. According to the intrusion detection method, the observational learning and semi-supervised ensemble learning are combined, unlabeled data is labeled to form a labeled data set with an ensemble result by individual classifier by observing output results to an unlabeled data set by other classifiers in network data detection, and the labeled data set is added to the original labeled data set to train the classifier again. According to the intrusion detection method, the unlabeled data is fully used and is translated to the labeled data to further improve the performance of the classifiers, and the intrusion detection method also has good detection effect in the case of a small amount of the labeled data. According to the intrusion detection method, each classifier generates virtual data per se without help of any external forces in the learning process, the virtual data and initial data set are trained, re-observed and re-trained together, and the identification performance of a detection system is effectively improved. The intrusion detection method can be expanded for processing a large amount of unlabeled training data, such as the application fields of medical images, web page classification, remote sensing image processing, face identification, and the like.