2512 search results - page 176 / 503 » Learning from Highly Structured Data by Decomposition |
149
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IJCNN
2000
IEEE
15 years 8 months ago
2000
IEEE
The main aim of this paper is to develop a suitable regression analysis model for describing the relationship between the index efficiency and the parameters of the Rival Penaliz...
142
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ACL
2006
15 years 5 months ago
2006
This paper investigates a machine learning approach for temporally ordering and anchoring events in natural language texts. To address data sparseness, we used temporal reasoning ...
135
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DIS
2004
Springer
15 years 7 months ago
2004
Springer
The aim of our work is to provide support for reading (or skimming) scientific papers. In this paper we report on the task to identify concepts or terms with positive attributions ...
130
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UAI
2003
15 years 5 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
174
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ML
2010
ACM
14 years 11 months ago
2010
ACM
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...