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ICML
2006
IEEE
16 years 8 months ago
A statistical approach to rule learning
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...
Stefan Kramer, Ulrich Rückert
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
16 years 1 months ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré
CCCG
2010
15 years 8 months ago
An optimal solution for dynamic polar diagram
The Polar Diagram [1] of a set of points (i.e. sites) is a partition of the plane. It is a locus approach for problems processing angles. Also, Dynamic Polar Diagram problem is a ...
Ebrahim Ehsanfar, Bahram Sadeghi Bigham, Najmeh Ma...
GIS
2007
ACM
15 years 11 months ago
Optimal traversal planning in road networks with navigational constraints
A frequent query in geospatial planning and decision making domains (e.g., emergency response, data acquisition, street cleaning), is to find an optimal traversal plan (OTP) that ...
Leyla Kazemi, Cyrus Shahabi, Mehdi Sharifzadeh, Lu...
JMLR
2006
117views more  JMLR 2006»
15 years 7 months ago
On the Complexity of Learning Lexicographic Strategies
Fast and frugal heuristics are well studied models of bounded rationality. Psychological research has proposed the take-the-best heuristic as a successful strategy in decision mak...
Michael Schmitt, Laura Martignon