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FLAIRS
2008
15 years 8 months ago
Selecting Minority Examples from Misclassified Data for Over-Sampling
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
Jorge de la Calleja, Olac Fuentes, Jesús Go...
ECAI
2006
Springer
15 years 8 months ago
On the Logic of Theory Change: Relations Between Incision and Selection Functions
This work elaborates on the connection between partial meet contractions and kernel contractions in belief change theory. We present a way to define incision functions (used in ker...
Marcelo A. Falappa, Eduardo L. Fermé, Gabri...
FLAIRS
2004
15 years 7 months ago
Experience-Based Resource Description and Selection in Multiagent Information Retrieval
In this paper, we propose an agent-centric approach to resource description and selection in a multiagent information retrieval (IR). In the multiagent system, each agent learns f...
Leen-Kiat Soh
AAAI
2000
15 years 7 months ago
Sampling Methods for Action Selection in Influence Diagrams
Sampling has become an important strategy for inference in belief networks. It can also be applied to the problem of selecting actions in influence diagrams. In this paper, we pre...
Luis E. Ortiz, Leslie Pack Kaelbling
AAAI
1994
15 years 7 months ago
Automated Modeling for Answering Prediction Questions: Selecting the Time Scale and System Boundary
The ability to answer prediction questions is crucial to reasoning about physical systems. A prediction question poses a hypothetical scenario and asks for the resulting behavior ...
Jeff Rickel, Bruce W. Porter