Learning to recognize promoter sequences in E. coli by modeling uncertainty in the training data

Temporal sequence learning and data reduction for anomaly detection

CCS '98 Proceedings of the 5th ACM conference on Computer and communications security

Feature generation for sequence categorization

AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence

Temporal sequence learning and data reduction for anomaly detection

ACM Transactions on Information and System Security (TISSEC)

Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks

Machine Learning

An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection

Machine Learning

Using Background Knowledge to Improve Inductive Learning: A Case Study in Molecular Biology

IEEE Expert: Intelligent Systems and Their Applications

On the informativeness of the DNA promoter sequences domain theory

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IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1