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» Learning Business Process Models: A Case Study
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JMLR
2010
125views more  JMLR 2010»
14 years 11 months ago
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
The presence of asymmetry in the misclassification costs or class prevalences is a common occurrence in the pattern classification domain. While much interest has been devoted to ...
Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra
ETS
2006
IEEE
119views Hardware» more  ETS 2006»
15 years 4 months ago
An Ontology-Based Framework for Bridging Learning Design and Learning Content
The paper describes an ontology-based framework for bridging learning design and learning object content. In present solutions, researchers have proposed conceptual models and dev...
Colin Knight, Dragan Gasevic, Griff Richards
WSC
1998
15 years 5 months ago
Modeling at the Machine-Control Level Using Discrete Event Simulation (DES)
Simulation at the machine-control level plays an important role in designing machine controls and operational specifications. Recently, there has been a considerable amount of wor...
Raid Al-Aomar, Daniel Cook
NC
2010
159views Neural Networks» more  NC 2010»
15 years 2 months ago
Automata and processes on multisets of communicating objects
Abstract. Inspired by P systems initiated by Gheorghe P˜aun, we study a computation model over a multiset of communicating objects. The objects in our model are instances of fini...
Linmin Yang, Yong Wang, Zhe Dang
BMCBI
2010
98views more  BMCBI 2010»
15 years 4 months ago
Learning to predict expression efficacy of vectors in recombinant protein production
Background: Recombinant protein production is a useful biotechnology to produce a large quantity of highly soluble proteins. Currently, the most widely used production system is t...
Wen-Ching Chan, Po-Huang Liang, Yan-Ping Shih, Uen...