Network anomaly detection with the restricted Boltzmann machine

References

Page 1

	Year	Citations
Learning representations by back-propagating errors David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams Nature EngineeringMachine LearningFeature LearningPattern RecognitionKnowledge Discovery	1986	29.7K
Pattern Recognition and Machine Learning Journal of Electronic Imaging Artificial IntelligenceEngineeringMachine LearningMicroscopyAdvanced Imaging	2007	22K
Reducing the Dimensionality of Data with Neural Networks Geoffrey E. Hinton, Ruslan Salakhutdinov Science	2006	20.5K
Understanding the difficulty of training deep feedforward neural networks Xavier Glorot, Yoshua Bengio	2010	12.6K
Pattern Recognition and Machine Learning Kybernetes Artificial IntelligenceEngineeringMachine LearningData MiningPattern Recognition	2007	8.4K
Learning Deep Architectures for AI Yoshua Bengio Foundations and Trends® in Machine Learning Artificial IntelligenceAi ArchitectureDeep Neural NetworksEngineeringComputer Science	2009	6.8K
Immunobiology: the immune system in health and disease Choice Reviews Online Clinical ImmunologyImmunohematologyAutoimmune DiseaseLaboratory ImmunologyImmunology	1995	4.1K
Anomaly-based network intrusion detection: Techniques, systems and challenges Pedro García‐Teodoro, Jesús E. Dı́az-Verdejo, Gabriel Maciá‐Fernández, Computers & Security Anomaly DetectionEngineeringData ScienceData MiningInformation Security	2008	1.9K
Computer security threat monitoring and surveillance Joseph Anderson Bulletin of Miscellaneous Information (Royal Gardens Kew) Threat (Computer)EngineeringInformation SecurityThreat DetectionIntrusion Detection	1980	1.4K
Classification using discriminative restricted Boltzmann machines Hugo Larochelle, Yoshua Bengio Artificial IntelligenceEngineeringMachine LearningLearning AlgorithmClassification Method	2008	657

Page 1