• Publications
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Host-based intrusion detection using self-organizing maps
TLDR
Hierarchical SOMs are applied to the problem of host based intrusion detection on computer networks. Expand
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Managing team-based problem solving with symbiotic bid-based genetic programming
TLDR
This paper proposes a symbiotic relationship that continues to support the cooperative bid-based process for problem decomposition while making the credit assignment process much clearer. Expand
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Symbiosis, complexification and simplicity under GP
TLDR
Models of Genetic Programming (GP) frequently reflect a neo-Darwinian view to evolution in which inheritance is based on a process of gradual refinement and the resulting solutions take the form of single monolithic programs. Expand
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Symbiotic coevolutionary genetic programming: a benchmarking study under large attribute spaces
TLDR
We take the view that a single holistic approach should be taken to addressing the issues of large data sets, classimbalance, attribute selection and model simplicity in order to provide the basis for a robust scalable approach to data mining under a supervised learning context. Expand
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Scaling Genetic Programming to Large Datasets Using Hierarchical Dynamic Subset Selection
TLDR
The computational overhead of genetic programming (GP) may be directly addressed without recourse to hardware solutions using active learning algorithms based on the random or dynamic subset selection heuristics (RSS). Expand
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Hierarchical task decomposition through symbiosis in reinforcement learning
TLDR
A symbiotic model of evolution separates context for deploying an action from the action itself. Expand
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On run time libraries and hierarchical symbiosis
TLDR
Run time libraries (RTL) in genetic programming (GP) represent a scenario in which individuals evolved under an earlier independent evolutionary run can be potentially incorporated into a following GP run. Expand
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Pareto-coevolutionary genetic programming for problem decomposition in multi-class classification
TLDR
A bid-based approach for coevolving Genetic Programming classifiers is presented. Expand
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Coevolutionary bid-based genetic programming for problem decomposition in classification
TLDR
A cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. Expand
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