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• Training genetic programming on half a million patterns: an example from anomaly detection
  Dong Song and Malcolm I. Heywood and A. Nur Zincir-Heywood IEEE Transactions on Evolutionary Computation9(3):225--239June2005.
  to KDD-99 fitness data filtering, mining, security RSS-DSS subset hierarchical of programming programming, sets algorithms, data, function, algorithm, dynamical set,Dynamic functions, (artificial learning training, cost selection anomaly intelligence), detection dataset genetic real-world detection, (DSS), large intrusion by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Anomaly Detection Using Real-Valued Negative Selection
  Fabio A. Gonzalez and Dipankar Dasgupta Genetic Programming and Evolvable Machines4(4):383--403December2003.
  to matching immune maps detection, self-organizing selection, negative systems, artificial rule, anomaly by brazovayeye on Jun 19, 2008, 5:35 PM
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• Getting It Right at the Very Start -- Building Project Models where Data Is Expensive by Combining Human Expertise, Machine Learning and Information Theory
  Frank D. Francone and Larry M. Deschaine 2004 Business and Industry Symposium, Washington, DC, April2004.
  to expert systems information Environmental machine anomaly learning, programming, genetic detection, Science, geophysics, algorithms, underground theory, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Using Machine Learning to Compliment and Extend the Accuracy of UXO Discrimination Beyond the Best Reported Results of the Jefferson Proving Ground Technology Demonstration
  Larry M. Deschaine and Richard A. Hoover and Joseph N. Skibinski and Janardan J. Patel and Frank Francone and Peter Nordin and M. J. Ades 2002 Advanced Technology Simulation Conference, San Diego, CA, USA, 14-18 April2002.
  to programming, genetic Unexploded detection, ordnance, geophysics, algorithms, UXO anomaly by brazovayeye on Jun 19, 2008, 5:35 PM
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