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IDA
2008
Springer
13 years 8 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
14 years 3 days ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
IJCNN
2006
IEEE
14 years 2 months ago
Biologically Inspired KFLANN Place Fields for Robot Localization
– This paper presents a hippocampal inspired robot localization model that provides a means for a simple robotic platform with ultrasonic sensors to localize itself. There have b...
Alex Leng Phuan Tay
CEC
2009
IEEE
14 years 1 months ago
Memory-enhanced Evolutionary Robotics: The Echo State Network Approach
— Interested in Evolutionary Robotics, this paper focuses on the acquisition and exploitation of memory skills. The targeted task is a well-studied benchmark problem, the Tolman ...
Cédric Hartland, Nicolas Bredeche, Mich&egr...
HAIS
2010
Springer
14 years 1 months ago
Incorporating Temporal Constraints in the Planning Task of a Hybrid Intelligent IDS
Abstract. Accurate and swift responses are crucial to Intrusion Detection Systems (IDSs), especially if automatic abortion mechanisms are running. In keeping with this idea, this w...
Álvaro Herrero, Martí Navarro, Vicen...