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» Experimental perspectives on learning from imbalanced data
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114
Voted
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
15 years 10 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
101
Voted
KDD
2000
ACM
153views Data Mining» more  KDD 2000»
15 years 1 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp
ACL
2009
14 years 8 months ago
Revisiting Pivot Language Approach for Machine Translation
This paper revisits the pivot language approach for machine translation. First, we investigate three different methods for pivot translation. Then we employ a hybrid method combin...
Hua Wu, Haifeng Wang
95
Voted
ISDA
2008
IEEE
15 years 4 months ago
Combining Clustering and Bayesian Network for Gene Network Inference
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
Suhaila Zainudin, Safaai Deris
109
Voted
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
15 years 10 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...