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ACL
2010
15 years 4 months ago
Global Learning of Focused Entailment Graphs
We propose a global algorithm for learning entailment relations between predicates. We define a graph structure over predicates that represents entailment relations as directed ed...
Jonathan Berant, Ido Dagan, Jacob Goldberger
EOR
2008
200views more  EOR 2008»
15 years 6 months ago
General variable neighborhood search for the continuous optimization
We suggest a new heuristic for solving unconstrained continuous optimization problems. It is based on a generalized version of the variable neighborhood search metaheuristic. Diff...
Nenad Mladenovic, Milan Drazic, Vera Kovacevic-Vuj...
TMC
2011
203views more  TMC 2011»
15 years 1 months ago
Throughput Optimization in Mobile Backbone Networks
—This paper describes new algorithms for throughput optimization in a mobile backbone network. This hierarchical communication framework combines mobile backbone nodes, which hav...
Emily M. Craparo, Jonathan P. How, Eytan Modiano
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 10 months ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin
ISAAC
2001
Springer
112views Algorithms» more  ISAAC 2001»
15 years 11 months ago
On the Complexity of Train Assignment Problems
We consider a problem faced by train companies: How can trains be assigned to satisfy scheduled routes in a cost efficient way? Currently, many railway companies create solutions b...
Thomas Erlebach, Martin Gantenbein, Daniel Hü...