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KDD
2004
ACM
135views Data Mining» more  KDD 2004»
14 years 8 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
CEEMAS
2005
Springer
14 years 1 months ago
MAS Meta-models on Test: UML vs. OPM in the SODA Case Study
In the AOSE (Agent-Oriented Software Engineering) area, several research efforts are underway to develop appropriate meta-models for agent-oriented methodologies. Meta-models are ...
Ambra Molesini, Enrico Denti, Andrea Omicini
IUI
2003
ACM
14 years 1 months ago
Lessons learned in modeling schizophrenic and depressed responsive virtual humans for training
This paper describes lessons learned in developing the linguistic, cognitive, emotional, and gestural models underlying virtual human behavior in a training application designed t...
Robert C. Hubal, Geoffrey A. Frank, Curry I. Guinn
CEEMAS
2001
Springer
14 years 13 days ago
UML for Behavior-Oriented Multi-agent Simulations
Developing multi-agent simulations seems to be rather straight forward, as active entities in the original correspond to active agents in the model. Thus plausible behaviors can be...
Christoph Oechslein, Franziska Klügl, Rainer ...
BMCBI
2011
13 years 2 months ago
A Platform for Processing Expression of Short Time Series (PESTS)
Background: Time course microarray profiles examine the expression of genes over a time domain. They are necessary in order to determine the complete set of genes that are dynamic...
Anshu Sinha, Marianthi Markatou