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IJCAI
2003
14 years 11 days ago
Evaluating Classifiers by Means of Test Data with Noisy Labels
Often the most expensive and time-consuming task in building a pattern recognition system is col­ lecting and accurately labeling training and testing data. In this paper, we exp...
Chuck P. Lam, David G. Stork
CIKM
2009
Springer
14 years 5 months ago
Large margin transductive transfer learning
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
Brian Quanz, Jun Huan
DASFAA
2009
IEEE
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14 years 5 months ago
FlexBench: A Flexible XML Query Benchmark
Abstract. In this paper we propose a new approach to XML benchmarking – a flexible XML query benchmark called FlexBench. The flexibility is given by two aspects. Firstly, FlexB...
Maros Vranec, Irena Mlýnková