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» A Framework for Multiple-Instance Learning
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OAS
2003
13 years 10 months ago
Collaborative Understanding of Distributed Ontologies in a Multiagent Framework: Design and Experiments
In this paper, we describe our work-in-progress with collaborative understanding of distributed ontologies in a multiagent framework. As reported earlier, the objective of this fr...
Leen-Kiat Soh
MLDM
2009
Springer
14 years 3 months ago
PMCRI: A Parallel Modular Classification Rule Induction Framework
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
Frederic T. Stahl, Max A. Bramer, Mo Adda
SMC
2007
IEEE
130views Control Systems» more  SMC 2007»
14 years 3 months ago
Simulation framework for training chest tube insertion using virtual reality and force feedback
—Most virtual reality simulators are designed for complex medical procedures, such as laparoscopic surgery. While important, these simulators are of use for only a subset of spec...
Nader S. Raja, John A. Schleser, William P. Norman...
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
14 years 1 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
CIKM
2008
Springer
13 years 11 months ago
Error-driven generalist+experts (edge): a multi-stage ensemble framework for text categorization
We introduce a multi-stage ensemble framework, ErrorDriven Generalist+Expert or Edge, for improved classification on large-scale text categorization problems. Edge first trains a ...
Jian Huang 0002, Omid Madani, C. Lee Giles