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» On the Automatic Extraction of Data from the Hidden Web
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PDPTA
1996
13 years 10 months ago
Exploiting Task-Level Parallelism Using pTask
This paper presents pTask-- a system that allows users to automatically exploit dynamic task-level parallelism in sequential array-based C programs. The system employs compiler an...
Tarek S. Abdelrahman, Sum Huynh
ACL
2012
11 years 11 months ago
A Statistical Model for Unsupervised and Semi-supervised Transliteration Mining
We propose a novel model to automatically extract transliteration pairs from parallel corpora. Our model is efficient, language pair independent and mines transliteration pairs i...
Hassan Sajjad, Alexander Fraser, Helmut Schmid
IPMU
2010
Springer
13 years 7 months ago
Attribute Value Selection Considering the Minimum Description Length Approach and Feature Granularity
Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
Kemal Ince, Frank Klawonn
BMCBI
2006
144views more  BMCBI 2006»
13 years 9 months ago
Association algorithm to mine the rules that govern enzyme definition and to classify protein sequences
Background: The number of sequences compiled in many genome projects is growing exponentially, but most of them have not been characterized experimentally. An automatic annotation...
Shih-Hau Chiu, Chien-Chi Chen, Gwo-Fang Yuan, Thy-...
MICCAI
2004
Springer
14 years 9 months ago
: Multi-subject Registration for Unbiased Statistical Atlas Construction
This paper introduces a new similarity measure designed to bring a population of segmented subjects into alignment in a common coordinate system. Our metric aligns each subject wit...
Mathieu De Craene, Aloys du Bois d'Aische, Beno&ic...