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222
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GECCO
2011
Springer
14 years 10 months ago
2011
Springer
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
222
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WWW
2011
ACM
15 years 1 months ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
174
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ICADL
2004
Springer
16 years 5 days ago
2004
Springer
This paper reports our research in the Web page filtering process in specialized search engine development. We propose a machine-learning-based approach that combines Web content a...
213
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TAL
2004
Springer
16 years 3 days ago
2004
Springer
In our research, we have developed a transfer-based machine translation architecture for the translation from Japanese into German. One main feature of the system is the fully auto...
149
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FLAIRS
2004
15 years 8 months ago
2004
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...