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ESANN
2007
15 years 3 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
GIS
2007
ACM
16 years 2 months ago
Quality-driven geospatial data integration
Accurate and efficient integration of geospatial data is an important problem with applications in areas such as emergency response and urban planning. Some of the key challenges ...
Craig A. Knoblock, José Luis Ambite, Snehal...
AGENTS
1999
Springer
15 years 6 months ago
Personal Navigating Agents
The World Wide Web provides a huge distributed web database. However, information in the web database is free formatted and unorganized. Traditional keyword-based retrieval approa...
H. L. Wang, W. K. Shih, C. N. Hsu, Y. S. Chen, Y. ...
JAR
1998
134views more  JAR 1998»
15 years 1 months ago
Integrating Computer Algebra into Proof Planning
Mechanized reasoning systems and computer algebra systems have different objectives. Their integration is highly desirable, since formal proofs often involve both of the two differ...
Manfred Kerber, Michael Kohlhase, Volker Sorge
212
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MICROMACHINES
2011
14 years 8 months ago
Modeling Self-Assembly Across Scales: The Unifying Perspective of Smart Minimal Particles
: A wealth of current research in microengineering aims at fabricating devices of increasing complexity, notably by (self-)assembling elementary components into heterogeneous funct...
Massimo Mastrangeli, Grégory Mermoud, Alche...