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» Learning about and through Empirical Modelling
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HICSS
2007
IEEE
100views Biometrics» more  HICSS 2007»
14 years 2 months ago
Courier Assignment in Social Networks
Integration is important in politics, business, and technology. In all these fields, the definition of integration is vague. We build a formal measure of integration based on the ...
Jeffrey V. Nickerson, Stephan Olariu
CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 8 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
IFIP
2001
Springer
14 years 26 days ago
Cultivating Recalcitrance in Information Systems Research
There is an ongoing debate about how to improve the quality of empirical research efforts in information systems. One of the persistent issues within the debate concerns the relat...
Carsten Sørensen, Edgar A. Whitley, Shirin ...
IJCNN
2008
IEEE
14 years 2 months ago
Self-organizing neural models integrating rules and reinforcement learning
— Traditional approaches to integrating knowledge into neural network are concerned mainly about supervised learning. This paper presents how a family of self-organizing neural m...
Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan
ECML
2001
Springer
14 years 28 days ago
Discovering Admissible Simultaneous Equation Models from Observed Data
Conventional work on scienti c discovery such as BACON derives empirical law equations from experimental data. In recent years, SDS introducing mathematical admissibility constrain...
Takashi Washio, Hiroshi Motoda, Yuji Niwa