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» Robustness of Classifiers to Changing Environments
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ECAL
2007
Springer
14 years 2 months ago
Investigating the Emergence of Phenotypic Plasticity in Evolving Digital Organisms
Abstract. In the natural world, individual organisms can adapt as their environment changes. In most in silico evolution, however, individual organisms tend to consist of rigid sol...
Jeff Clune, Charles Ofria, Robert T. Pennock
ICRA
2002
IEEE
183views Robotics» more  ICRA 2002»
14 years 24 days ago
Mobile Robot Localization Based on Random Closed Set Model Maps
In this paper we present a novel approach to mobile robot navigation in natural unstructured environments. Natural scenes can be considered as random fields where a large number ...
Stefan Rolfes, Maria-João Rendas
AAMAS
2008
Springer
13 years 8 months ago
A capabilities-based model for adaptive organizations
Multiagent systems have become popular over the last few years for building complex, adaptive systems in a distributed, heterogeneous setting. Multiagent systems tend to be more r...
Scott A. DeLoach, Walamitien H. Oyenan, Eric T. Ma...
AAAI
2011
12 years 7 months ago
A Switching Planner for Combined Task and Observation Planning
From an automated planning perspective the problem of practical mobile robot control in realistic environments poses many important and contrary challenges. On the one hand, the p...
Moritz Göbelbecker, Charles Gretton, Richard ...
ICDM
2010
IEEE
115views Data Mining» more  ICDM 2010»
13 years 5 months ago
Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times
Classification of items taken from data streams requires algorithms that operate in time sensitive and computationally constrained environments. Often, the available time for class...
Jin Shieh, Eamonn J. Keogh