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GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
15 years 10 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
AMT
2006
Springer
107views Multimedia» more  AMT 2006»
15 years 10 months ago
An Intelligent Process Monitoring System in Complex Manufacturing Environment
In high-tech industries, most manufacturing processes are complexly intertwined, in that manufacturers or engineers can hardly control a whole set of processes. They are only capa...
Sung Ho Ha, Boo-Sik Kang
SPRINGSIM
2008
15 years 8 months ago
Predicting hepatic disposition properties of cationic drugs using a physiologically based, agent-oriented In Silico Liver
The In Silico Liver (ISL) plugs together autonomous software objects that represent hepatic components at different scales and levels of details. ISL parameters sensitive to drug-...
Li Yan, Sunwoo Park, Shahab Sheikh-Bahaei, Glen E....
AAAI
1996
15 years 8 months ago
Integrating Grid-Based and Topological Maps for Mobile Robot Navigation
Research on mobile robot navigation has produced two major paradigms for mapping indoorenvironments: grid-based and topological. While grid-based methods produce accurate metric m...
Sebastian Thrun, Arno Bücken
ISMB
1993
15 years 8 months ago
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
Kevin J. Cherkauer, Jude W. Shavlik