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IBERAMIA
2010
Springer
14 years 8 months ago
Interaction Graphs for Multivariate Binary Data
We define a class of graphs that summarize in a compact visual way the interaction structure between binary multivariate characteristics. This allows studying the conditional depe...
Johan Van Horentonioeek, Jesús Emeterio Nav...
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
15 years 4 months ago
Using Reinforcement Learning to Improve Exploration Trajectories for Error Minimization
Abstract— The mapping and localization problems have received considerable attention in robotics recently. The exploration problem that drives mapping has started to generate sim...
Thomas Kollar, Nicholas Roy
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
15 years 2 months ago
Evolution of Goal-Directed Behavior from Limited Information in a Complex Environment
In this paper, we apply an evolutionary algorithm to learning behavior on a novel, interesting task to explore the general issue of learning e ective behaviors in a complex enviro...
Matthew R. Glickman, Katia P. Sycara
GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
15 years 1 months ago
How randomized search heuristics find maximum cliques in planar graphs
Surprisingly, general search heuristics often solve combinatorial problems quite sufficiently, although they do not outperform specialized algorithms. Here, the behavior of simple...
Tobias Storch
ANOR
2006
133views more  ANOR 2006»
14 years 10 months ago
Horizon and stages in applications of stochastic programming in finance
To solve a decision problem under uncertainty via stochastic programming means to choose or to build a suitable stochastic programming model taking into account the nature of the r...
Marida Bertocchi, Vittorio Moriggia, Jitka Dupacov...