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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 6 days ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett
GECCO
2005
Springer
16 years 6 days ago
Intelligent exploration method for XCS
Exploration/Exploitation equilibrium is one of the most challenging issues in reinforcement learning area as well as learning classifier systems such as XCS. In this paper1 , an i...
Ali Hamzeh, Adel Rahmani
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
16 years 6 days ago
The MaxSolve algorithm for coevolution
Coevolution can be used to adaptively choose the tests used for evaluating candidate solutions. A long-standing question is how this dynamic setup may be organized to yield reliab...
Edwin D. de Jong
GECCO
2005
Springer
183views Optimization» more  GECCO 2005»
16 years 6 days ago
802.11 network intrusion detection using genetic programming
Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of fe...
Patrick LaRoche, A. Nur Zincir-Heywood
ICALP
2005
Springer
16 years 6 days ago
Single-Key AIL-MACs from Any FIL-MAC
Abstract. We investigate a general paradigm for constructing arbitraryinput-length (AIL) MACs from fixed-input-length (FIL) MACs, define the waste as the relevant efficiency para...
Ueli M. Maurer, Johan Sjödin