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» Learning from Dyadic Data

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NEUROSCIENCE
2001
Springer

261views Applied Computing» more NEUROSCIENCE 2001»

Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources

13 years 11 months ago

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We propose a theoretical framework for speciﬁcation and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...

Doina Caragea, Adrian Silvescu, Vasant Honavar

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DMIN
2006

125views Data Mining» more DMIN 2006»

Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data

13 years 8 months ago

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In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...

Jianjie Ma, Krishnamoorthy Sivakumar

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ICML
2007
IEEE

124views Machine Learning» more ICML 2007»

Experimental perspectives on learning from imbalanced data

14 years 7 months ago

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We present a comprehensive suite of experimentation on the subject of learning from imbalanced data. When classes are imbalanced, many learning algorithms can suffer from the pers...

Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napol...

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KDD
2009
ACM

174views Data Mining» more KDD 2009»

Learning from data with uncertain labels by boosting credal classifiers

14 years 1 months ago