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144
Voted
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 10 months ago
Learning, anticipation and time-deception in evolutionary online dynamic optimization
In this paper we focus on an important source of problem– difficulty in (online) dynamic optimization problems that has so far received significantly less attention than the tr...
Peter A. N. Bosman
111
Voted
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
15 years 10 months ago
A framework for learning coordinated behavior
We sketch a framework for learning structured coordinated behavior, specifically the tactical behavior of Experimental Unmanned Vehicles (XUVs). We conceptualize an XUV unit as a ...
Albert C. Esterline, Chafic BouSaba, Abdollah Homa...
147
Voted
ICSE
2005
IEEE-ACM
15 years 10 months ago
Observations and lessons learned from automated testing
This report addresses some of our observations made in a dozen of projects in the area of software testing, and more specifically, in automated testing. It documents, analyzes and...
Stefan Berner, Roland Weber, Rudolf K. Keller
154
Voted
WEBI
2005
Springer
15 years 10 months ago
User Navigational Behavior in e-Learning Virtual Environments
In this paper we describe the navigational behavior of the students of a e-learning virtual environment, in order to determine whether such navigational patterns are related to th...
Joan Marc Carbó, Enric Mor, Julià Mi...
SIGIR
2004
ACM
15 years 10 months ago
Learning effective ranking functions for newsgroup search
Web communities are web virtual broadcasting spaces where people can freely discuss anything. While such communities function as discussion boards, they have even greater value as...
Wensi Xi, Jesper Lind, Eric Brill