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FLAIRS
2008
13 years 9 months ago
Building Useful Models from Imbalanced Data with Sampling and Boosting
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van H...
ICML
2004
IEEE
14 years 7 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
CHI
2008
ACM
13 years 9 months ago
Introducing item response theory for measuring usability inspection processes
Usability evaluation methods have a long history of research. Latest contributions significantly raised the validity of method evaluation studies. But there is still a measurement...
Martin Schmettow, Wolfgang Vietze
SAC
2008
ACM
13 years 6 months ago
Towards a model-driven engineering approach for developing embedded hard real-time software
Model-Driven Engineering (MDE) has been advocated as an effective way to deal with today's software complexity. MDE can be seen as an integrative approach combining existing ...
Fabiano Cruz, Raimundo S. Barreto, Lucas Cordeiro
INFORMATICALT
2002
91views more  INFORMATICALT 2002»
13 years 6 months ago
Bayesian Heuristic Approach to Scheduling
Abstract. Real life scheduling problems are solved by heuristics with parameters defined by experts, as usual. In this paper a new approach is proposed where the parameters of vari...
Jonas Mockus