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EMNLP
2011
12 years 4 months ago
Heuristic Search for Non-Bottom-Up Tree Structure Prediction
State of the art Tree Structures Prediction techniques rely on bottom-up decoding. These approaches allow the use of context-free features and bottom-up features. We discuss the l...
Andrea Gesmundo, James Henderson
ICML
2005
IEEE
14 years 5 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
13 years 10 months ago
Randomized Local Search, Evolutionary Algorithms, and the Minimum Spanning Tree Problem
Randomized search heuristics, among them randomized local search and evolutionary algorithms, are applied to problems whose structure is not well understood, as well as to problems...
Frank Neumann, Ingo Wegener
CORR
2007
Springer
147views Education» more  CORR 2007»
13 years 4 months ago
Decomposition During Search for Propagation-Based Constraint Solvers
Abstract. We describe decomposition during search (DDS), an integration of And/Or tree search into propagation-based constraint solvers. The presented search algorithm dynamically ...
Martin Mann, Guido Tack, Sebastian Will
PPSN
2010
Springer
13 years 2 months ago
Variable Neighborhood Search and Ant Colony Optimization for the Rooted Delay-Constrained Minimum Spanning Tree Problem
Abstract. The rooted delay-constrained minimum spanning tree problem is an NP-hard combinatorial optimization problem arising for example in the design of centralized broadcasting ...
Mario Ruthmair, Günther R. Raidl