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PREMI
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. Approximation spaces are fundamental for the rough set approach. We discuss their application in machine learning and pattern recognition.
121
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CIKM
2007
Springer
15 years 8 months ago
2007
Springer
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
122
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MODELS
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. This paper describes our experiences in defining the processes associated with preparing and administrating chemotherapy and then using those process definitions as the b...
123
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CHI
2008
ACM
16 years 3 months ago
2008
ACM
As statistical machine learning algorithms and techniques continue to mature, many researchers and developers see statistical machine learning not only as a topic of expert study,...
115
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ECML
1998
Springer
15 years 6 months ago
1998
Springer
We present compelling evidence that the World Wide Web is a domain in which applications can benefit from using first-order learning methods, since the graph structure inherent in ...