In this paper, we address the issue for learning better translation consensus in machine translation (MT) research, and explore the search of translation consensus from similar, r...
An approximate search query on a collection of strings finds those strings in the collection that are similar to a given query string, where similarity is defined using a given si...
Background: Proteins show a great variety of 3D conformations, which can be used to infer their evolutionary relationship and to classify them into more general groups; therefore ...
In this paper, we propose the ontology-based semantic web search model to enhance efficiency and accuracy of information retrieval for unstructured and semi-structured documents. N...
In this paper we introduce model-based search as a unifying framework accommodating some recently proposed metaheuristics for combinatorial optimization such as ant colony optimiza...
Mark Zlochin, Mauro Birattari, Nicolas Meuleau, Ma...