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» Extracting Web Data Using Instance-Based Learning
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ECML
2005
Springer
14 years 3 months ago
Learning from Positive and Unlabeled Examples with Different Data Distributions
Abstract. We study the problem of learning from positive and unlabeled examples. Although several techniques exist for dealing with this problem, they all assume that positive exam...
Xiaoli Li, Bing Liu
APIN
2010
107views more  APIN 2010»
13 years 10 months ago
Extracting reduced logic programs from artificial neural networks
Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...
Jens Lehmann, Sebastian Bader, Pascal Hitzler
LREC
2010
197views Education» more  LREC 2010»
13 years 11 months ago
Question Answering Biographic Information and Social Network Powered by the Semantic Web
After several years of development, the vision of the Semantic Web is gradually becoming reality. Large data repositories have been created and offer semantic information in a mac...
Peter Adolphs, Xiwen Cheng, Tina Klüwer, Hans...
DIAGRAMS
2004
Springer
14 years 3 months ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
WEBI
2005
Springer
14 years 3 months ago
Automatically Generating Labeled Examples for Web Wrapper Maintenance
In order to let software programs gain full benefit from semi-structured web sources, wrapper programs must be built to provide a “machine-readable” view over them. A signific...
Juan Raposo, Alberto Pan, Manuel Álvarez, J...