2Expected Divergence Based Feature Selection for Learning to Rankscores and minimum total similarity scores. The greedy search algorithm over an undirected graph of features was employed...
3An Algorithmic Framework for Solving the Decoding Problem in Statistical Machine Translationgood quality suboptimal solutions. An O ( m6 ) greedy search algorithm was developed (Germann et al., 2003) whose complexity...
4Discriminative Induction of Sub-Tree Alignment using Limited Labeled Dataand hence suitable as a searching metric. The greedy search algorithm can be described as an automaton. A state in the...