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Beam search

Known as: Beam 
In computer science, beam search is a heuristic search algorithm that explores a graph by expanding the most promising node in a limited set. Beam… Expand
Wikipedia

Papers overview

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Highly Cited
2016
Highly Cited
2016
Sequence-to-Sequence (seq2seq) modeling has rapidly become an important general-purpose NLP tool that has proven effective for… Expand
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Highly Cited
2013
Highly Cited
2013
Multilabel learning is a machine learning task that is important for applications, but challenging. A recent method for… Expand
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Highly Cited
2011
Highly Cited
2011
We study a range of syntactic processing tasks using a general statistical framework that consists of a global linear model… Expand
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Highly Cited
2010
Highly Cited
2010
This paper investigates the irregular shape packing problem. We represent the problem as an ordered list of pieces to be packed… Expand
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Highly Cited
2007
Highly Cited
2007
In this paper, the optimization of the Berth Allocation Problem (BAP) is transformed into a multiple stage decision making… Expand
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Highly Cited
2007
Highly Cited
2007
  • Kalyanmoy Deb, Abhay Kumar
  • IEEE Congress on Evolutionary Computation
  • 2007
  • Corpus ID: 18793301
For the past decade or so, evolutionary multi-objective optimization (EMO) methodologies have earned wide popularity for solving… Expand
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Highly Cited
2005
Highly Cited
2005
Ant colony optimization (ACO) is a metaheuristic approach to tackle hard combinatorial optimization problems. The basic component… Expand
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Highly Cited
2004
Highly Cited
2004
We describe Pharaoh, a freely available decoder for phrase-based statistical machine translation models. The decoder is the… Expand
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Highly Cited
1999
Highly Cited
1999
Beam Search is a heuristic method for solving optimization problems. It is an adaptation of the branch and bound method in which… Expand
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Highly Cited
1997
Highly Cited
1997
In this paper, we describe a fast search algorithm for statistical translation based on dynamic programming (DP) and present… Expand
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