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» Generality Is Predictive of Prediction Accuracy
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ILP
1999
Springer
15 years 11 months ago
Rule Evaluation Measures: A Unifying View
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
Nada Lavrac, Peter A. Flach, Blaz Zupan
FUZZIEEE
2007
IEEE
15 years 10 months ago
Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class
Abstract-- In this paper a new method for training singlemodel and multi-model fuzzy classifiers incrementally and adaptively is proposed, which is called FLEXFIS-Class. The evolvi...
Edwin Lughofer, Plamen P. Angelov, Xiaowei Zhou
MOBIMEDIA
2007
15 years 8 months ago
Bayesian memory-based reputation system
Reputation System provides a way to maintain trust through social control by utilizing feedbacks about the service providers’ past behaviors. Conventional Memory-based Reputatio...
Weiwei Yuan, Donghai Guan, Sungyoung Lee, Young-Ko...
ICML
2007
IEEE
16 years 7 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
CADE
2001
Springer
16 years 7 months ago
Context Trees
Context trees are a popular and effective tool for tasks such as compression, sequential prediction, and language modeling. We present an algebraic perspective of context trees for...
Harald Ganzinger, Robert Nieuwenhuis, Pilar Nivela