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» Position Paper: Ontology Learning from Folksonomies
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KDD
2002
ACM
108views Data Mining» more  KDD 2002»
14 years 9 months ago
Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
George Forman
ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
14 years 2 months ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet
HICSS
2010
IEEE
240views Biometrics» more  HICSS 2010»
14 years 3 months ago
Can e-Government Adopters Benefit from a Technology-First Approach? The Case of Egypt Embarking on Service-Oriented Architecture
It seems common sense that “policy matters” in setting up e-government interoperability, mainly because collaboration should be guided by dedicated integration objectives and ...
Ralf Klischewski, Ranwa Abubakr
FLAIRS
2003
13 years 10 months ago
Hybrid Intelligence for Driver Assistance
We report on our on-going effort to build an adaptive driver support system, Driver AdvocateTM , merging various AI techniques, in particular, agents, ontology, production systems...
Chung Hee Hwang, Noel Massey, Bradford W. Miller, ...
AAAI
2007
13 years 11 months ago
Measuring the Level of Transfer Learning by an AP Physics Problem-Solver
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
Matthew Klenk, Kenneth D. Forbus